Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ G: Financial Economics
/ / G1: General Financial Markets
/ / / G17: Financial Forecasting and Simulation

2022

• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2021. "Superior Predictability of American Factors of the Won/Dollar Real Exchange Rate," Auburn Economics Working Paper Series auwp2021-03, Department of Economics, Auburn University.
  • Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2022. "Superior Predictability of American Factors of the Won/Dollar Real Exchange Rate," Auburn Economics Working Paper Series auwp2022-03, Department of Economics, Auburn University.
• Yaqing Xiao & Hongjun Yan & Jinfan Zhang, 2022. "A Global Version of Samuelson's Dictum," American Economic Review: Insights, American Economic Association, vol. 4(2), pages 239-254, June.
• Bogdan Cosmin GOMOI, 2022. "Analysis of the Results Structures Corresponding to a Joint Stock Company," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(4), pages 43-51, April.
• Bogdan Cosmin GOMOI, 2022. "Structural Analysis of the Utilization-Resources, Rotation of the Current Structure and Cost-Effectiveness of a Listed Company," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(5), pages 19-28, May.
• Surbhi Bhatia & Manish K. Singh, 2022. "Fifty years since Altman (1968): Performance of financial distress prediction models," Working Papers 12, xKDR.
• Oscar Claveria & Enric Monte & Petar Soric & Salvador Torra, 2022. ""An application of deep learning for exchange rate forecasting"," IREA Working Papers 202201, University of Barcelona, Research Institute of Applied Economics, revised Jan 2022.
  • Oscar Claveria & Enric Monte & Petar Soric & Salvador Torra, 2022. "“An application of deep learning for exchange rate forecasting”," AQR Working Papers 202201, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2022.
• Olkhov, Victor, 2022. "Introduction of the Market-Based Price Autocorrelation," MPRA Paper 112003, University Library of Munich, Germany.
  • Victor Olkhov, 2022. "Introduction of the Market-Based Price Autocorrelation," Papers 2202.09323, arXiv.org.
• Olkhov, Victor, 2022. "Price and Payoff Autocorrelations in the Consumption-Based Asset Pricing Model," MPRA Paper 112255, University Library of Munich, Germany.
  • Victor Olkhov, 2022. "Price and Payoff Autocorrelations in the Consumption-Based Asset Pricing Model," Papers 2204.07506, arXiv.org.
• Olkhov, Victor, 2022. "The Market-Based Asset Price Probability," MPRA Paper 113096, University Library of Munich, Germany.
  • Victor Olkhov, 2022. "The Market-Based Asset Price Probability," Papers 2205.07256, arXiv.org.
• Adrián Carro & Patricia Stupariu, 2022. "Uncertainty, non-linear contagion and the credit quality channel: an application to the Spanish interbank market," Working Papers 2212, Banco de España.
• Andrés Alonso & José Manuel Carbó, 2022. "Accuracy of explanations of machine learning models for credit decisions," Working Papers 2222, Banco de España.
• Giovanni di Iasio & Spyridon Alogoskoufis & Simon Kordel & Dominika Kryczka & Giulio Nicoletti & Nicholas Vause, 2022. "A model of system-wide stress simulation: market-based finance and the Covid-19 event," Questioni di Economia e Finanza (Occasional Papers) 687, Bank of Italy, Economic Research and International Relations Area.
• Giulio Cornelli & Sebastian Doerr & Leonardo Gambacorta & Bruno Tissot, 2022. "Big Data in Asian Central Banks," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(2), pages 255-269, July.
  • Giulio Cornelli & Sebastian Doerr & Leonardo Gambacorta & Bruno Tissot, 2022. "Big data in Asian central banks," IFC Working Papers 21, Bank for International Settlements.
• Giulio Cornelli & Sebastian Doerr & Leonardo Gambacorta & Bruno Tissot, 2022. "Big Data in Asian Central Banks," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(2), pages 255-269, July.
  • Giulio Cornelli & Sebastian Doerr & Leonardo Gambacorta & Bruno Tissot, 2022. "Big data in Asian central banks," IFC Working Papers 21, Bank for International Settlements.
• Mba Jules Clement & Mwambetania Mwambi Sutene, 2022. "Crypto-assets portfolio selection and optimization: a COGARCH-Rvine approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(2), pages 173-190, April.
• W. Saart, Patrick & Kim, Namhyun & Bateman, Ian, 2021. "Understanding spatial heterogeneity in GB agricultural land-use for improved policy targeting," Cardiff Economics Working Papers E2021/8, Cardiff University, Cardiff Business School, Economics Section.
• Xu, Yongdeng, 2022. "Exponential High-Frequency-Based-Volatility (EHEAVY) Models," Cardiff Economics Working Papers E2022/5, Cardiff University, Cardiff Business School, Economics Section.
• Daniele Bianchi & Mykola Babiak & Alexander Dickerson, 2022. "Trading Volume and Liquidity Provision in Cryptocurrency Markets," CERGE-EI Working Papers wp730, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
• Michael Schnetzer & Thorsten Hens, 2022. "Evolutionary finance for multi-asset investors," Swiss Finance Institute Research Paper Series 22-05, Swiss Finance Institute.
• Antoine Kopp & Rebecca Westphal & Didier Sornette, 2022. "Agent-based model generating stylized facts of fixed income markets," Swiss Finance Institute Research Paper Series 22-37, Swiss Finance Institute.
• Didier Sornette & Sandro Claudio Lera & Jianhong Lin & Ke Wu, 2022. "Non-Normal Interactions Create Socio-Economic Bubbles," Swiss Finance Institute Research Paper Series 22-43, Swiss Finance Institute.
• di Iasio, Giovanni & Alogoskoufis, Spyridon & Kördel, Simon & Kryczka, Dominika & Nicoletti, Giulio & Vause, Nicholas, 2022. "A model of system-wide stress simulation: market-based finance and the Covid-19 event," Working Paper Series 2671, European Central Bank.
• Fukker, Gábor & Kaijser, Michiel & Mingarelli, Luca & Sydow, Matthias, 2022. "Contagion from market price impact: a price-at-risk perspective," Working Paper Series 2692, European Central Bank.
• Lamia Kalai, 2022. "Time Varying Dependence in the Cryptocurrency Market and COVID 19 Panic Index: An Empirical Investigation," International Journal of Economics and Financial Issues, Econjournals, vol. 12(2), pages 37-51, March.
• Avazkhodjaev S. Shakhabiddinovich & Noor Azuddin bin Yakob & Lau Wee Yeap, 2022. "Asymmetric Effect of Renewable Energy Generation and Clean Energy on Green Economy Stock Price: ANonlinear ARDL Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 407-415.
• Ikhlaas Gurrib, 2022. "Technical Analysis, Energy Cryptos and Energy Equity Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 249-267, March.
• Rialdi Azhar & Febryan Kusuma Wisnu & Fajrin Satria Dwi Kesuma & Widya Rizki Eka Putri & Rian Andri Prasetya, 2022. "State-space Implementation in Forecasting Carbon and Gas Prices in Commodity Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 280-286, May.
• Bharat Kumar Meher & Iqbal Thonse Hawaldar & Santosh Kumar & Abhishek Kumar Gupta, 2022. "Modelling Market Indices, Commodity Market Prices and Stock Prices of Energy Sector using VAR with Variance Decomposition Model," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 122-130, July.
• Quaye, Enoch & Tunaru, Radu, 2022. "The stock implied volatility and the implied dividend volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
• Hu, Yuan & Lindquist, W. Brent & Rachev, Svetlozar T. & Shirvani, Abootaleb & Fabozzi, Frank J., 2022. "Market complete option valuation using a Jarrow-Rudd pricing tree with skewness and kurtosis," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
• Uquillas, Adriana & Tonato, Ronny, 2022. "Inter-portfolio credit risk contagion including macroeconomic and financial factors: A case study for Ecuador," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 299-320.
• Qu, Hui & Zhang, Yi, 2022. "Asymmetric multivariate HAR models for realized covariance matrix: A study based on volatility timing strategies," Economic Modelling, Elsevier, vol. 106(C).
• Colak, Gonul & Fu, Mengchuan & Hasan, Iftekhar, 2022. "On modeling IPO failure risk," Economic Modelling, Elsevier, vol. 109(C).
• Yang, Yanlin & Hu, Xuemei & Jiang, Huifeng, 2022. "Group penalized logistic regressions predict up and down trends for stock prices," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
• Santos, Douglas G. & Candido, Osvaldo & Tófoli, Paula V., 2022. "Forecasting risk measures using intraday and overnight information," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
• Aharon, David Y. & Umar, Zaghum & Aziz, Mukhriz Izraf Azman & Vo, Xuan vinh, 2022. "COVID-19 related media sentiment and the yield curve of G-7 economies," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
• Beckmann, Joscha & Boonman, Tjeerd M., 2022. "Expectations, disagreement and exchange rate pressure," Economics Letters, Elsevier, vol. 212(C).
• Saart, Patrick W. & Xia, Yingcun, 2022. "Functional time series approach to analyzing asset returns co-movements," Journal of Econometrics, Elsevier, vol. 229(1), pages 127-151.
• Wan, Runqing & Fulop, Andras & Li, Junye, 2022. "Real-time Bayesian learning and bond return predictability," Journal of Econometrics, Elsevier, vol. 230(1), pages 114-130.
• Nazemi, Abdolreza & Baumann, Friedrich & Fabozzi, Frank J., 2022. "Intertemporal defaulted bond recoveries prediction via machine learning," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1162-1177.
• Zhang, Han & Guo, Bin & Liu, Lanbiao, 2022. "The time-varying bond risk premia in China," Journal of Empirical Finance, Elsevier, vol. 65(C), pages 51-76.
• Cavalcante-Filho, Elias & Chague, Fernando & De-Losso, Rodrigo & Giovannetti, Bruno, 2022. "US risk premia under emerging markets constraints," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 217-230.
  • Elias Cavalcante-Filho, Fernando Chague, Rodrigo De Losso, Bruno Giovannetti, 2019. "US Risk Premia under Emerging Markets Constraints," Working Papers, Department of Economics 2019_28, University of São Paulo (FEA-USP).
• Zhao, Albert Bo & Cheng, Tingting, 2022. "Stock return prediction: Stacking a variety of models," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 288-317.
• Huisman, Ronald & Stet, Cristian, 2022. "The dependence of quantile power prices on supply from renewables," Energy Economics, Elsevier, vol. 105(C).
• Okorie, David Iheke & Lin, Boqiang, 2022. "Givers never lack: Nigerian oil & gas asymmetric network analyses," Energy Economics, Elsevier, vol. 108(C).
• Li, Xiafei & Liang, Chao & Chen, Zhonglu & Umar, Muhammad, 2022. "Forecasting crude oil volatility with uncertainty indicators: New evidence," Energy Economics, Elsevier, vol. 108(C).
• Akyildirim, Erdinc & Cepni, Oguzhan & Molnár, Peter & Uddin, Gazi Salah, 2022. "Connectedness of energy markets around the world during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 109(C).
• Umar, Zaghum & Aharon, David Y. & Esparcia, Carlos & AlWahedi, Wafa, 2022. "Spillovers between sovereign yield curve components and oil price shocks," Energy Economics, Elsevier, vol. 109(C).
• Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
• Guo, Xiaozhu & Huang, Yisu & Liang, Chao & Umar, Muhammad, 2022. "Forecasting volatility of EUA futures: New evidence," Energy Economics, Elsevier, vol. 110(C).
• Davis, E. Philip & Karim, Dilruba & Noel, Dennison, 2022. "The effects of macroprudential policy on banks' profitability," International Review of Financial Analysis, Elsevier, vol. 80(C).
• Gong, Xue & Zhang, Weiguo & Wang, Junbo & Wang, Chao, 2022. "Investor sentiment and stock volatility: New evidence," International Review of Financial Analysis, Elsevier, vol. 80(C).
• Vedenov, Dmitry & Power, Gabriel J., 2022. "We don't need no fancy hedges! Or do we?," International Review of Financial Analysis, Elsevier, vol. 81(C).
• Vidal-Tomás, David, 2022. "Which cryptocurrency data sources should scholars use?," International Review of Financial Analysis, Elsevier, vol. 81(C).
• Liang, Chao & Xu, Yongan & Wang, Jianqiong & Yang, Mo, 2022. "Whether dimensionality reduction techniques can improve the ability of sentiment proxies to predict stock market returns," International Review of Financial Analysis, Elsevier, vol. 82(C).
• Zakamulin, Valeriy & Giner, Javier, 2022. "Time series momentum in the US stock market: Empirical evidence and theoretical analysis," International Review of Financial Analysis, Elsevier, vol. 82(C).
• Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
• Ballinari, Daniele & Audrino, Francesco & Sigrist, Fabio, 2022. "When does attention matter? The effect of investor attention on stock market volatility around news releases," International Review of Financial Analysis, Elsevier, vol. 82(C).
• Yao, Yuan & Zhao, Yang & Li, Yan, 2022. "A volatility model based on adaptive expectations: An improvement on the rational expectations model," International Review of Financial Analysis, Elsevier, vol. 82(C).
• Lööf, Hans & Sahamkhadam, Maziar & Stephan, Andreas, 2022. "Incorporating ESG into optimal stock portfolios for the global timber & forestry industry," Working Paper Series in Economics and Institutions of Innovation 490, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
• Bianchi, Daniele & Babiak, Mykola & Dickerson, Alexander, 2022. "Trading volume and liquidity provision in cryptocurrency markets," Working Paper Series 413, Sveriges Riksbank (Central Bank of Sweden).
• Montserrat Reyna Miranda & Ricardo Massa Roldán & Vicente Gómez Salcido, 2022. "Neuro-wavelet Model for price prediction in high-frequency data in the Mexican Stock market," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(1), pages 1-23, Enero - M.
• Muhammad Rehan & Jahanzaib Alvi & Süleyman Serdar Karaca, 2022. "Short Term Stress of Covid-19 on World Major Stock Indices," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(3), pages 527-568, September.
• Matthew Smith & Francisco Alvarez, 2022. "Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 263-295, January.
• Ryuichi Yamamoto, 2022. "Predictor Choice, Investor Types, and the Price Impact of Trades on the Tokyo Stock Exchange," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 325-356, January.
• Muhammad Niaz Khan & Suzanne G. M. Fifield & Nongnuch Tantisantiwong & David M. Power, 2022. "Changes in co-movement and risk transmission between South Asian stock markets amidst the development of regional co-operation," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(1), pages 87-117, March.
• Francesco Bianchi & Lorenzo Mercuri & Edit Rroji, 2022. "Portfolio Selection with Irregular Time Grids: an example using an ICA-COGARCH(1, 1) approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(1), pages 57-85, March.
• Kexing Ding & Bikki Jaggi, 2022. "CEO career concerns and the precision of management earnings forecasts," Review of Quantitative Finance and Accounting, Springer, vol. 58(1), pages 69-100, January.
• Bruno Deschamps & Tianlun Fei & Ying Jiang & Xiaoquan Liu, 2022. "Procyclical volatility in Chinese stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1117-1144, April.
• Byung Yeon Kim & Heejoon Han, 2022. "Multi-Step-Ahead Forecasting of the CBOE Volatility Index in a Data-Rich Environment: Application of Random Forest with Boruta Algorithm," Korean Economic Review, Korean Economic Association, vol. 38, pages 541-569.
• John W. Barry & Murillo Campello & John Graham & Yueran Ma, 2022. "Corporate Flexibility in a Time of Crisis," NBER Working Papers 29746, National Bureau of Economic Research, Inc.
• William N. Goetzmann & Akiko Watanabe & Masahiro Watanabe, 2022. "Evidence on Retrieved Context: How History Matters," NBER Working Papers 29849, National Bureau of Economic Research, Inc.
• William N. Goetzmann & Akiko Watanabe & Masahiro Watanabe, 2022. "Cohort Effects on Expected Co-Movement," NBER Working Papers 29949, National Bureau of Economic Research, Inc.
• Nicolas Chatelais & Arthur Stalla-Bourdillon & Menzie D. Chinn, 2022. "Macroeconomic Forecasting using Filtered Signals from a Stock Market Cross Section," NBER Working Papers 30305, National Bureau of Economic Research, Inc.
• Fedorova, E. & Pyltsin, I. & Kovalchuk, Yu. & Drogovoz, P., 2022. "News and social networks of Russian companies: Degree of influence on the securities market," Journal of the New Economic Association, New Economic Association, vol. 53(1), pages 32-52.
• Gunter Löffler, 2022. "Equity Premium Forecasts Tend to Perform Worse Against a Buy-and-Hold Benchmark," Critical Finance Review, now publishers, vol. 11(1), pages 65-77, February.
• Petar Rangelov, 2022. "Application of Simulation-based Approach for Determining the Value of Companies Operating in an Environment of Uncertainty," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 111-131, March.
• Thomas Maurer & Thuy-Duong Tô & Ngoc-Khanh Tran, 2022. "Pricing Implications of Covariances and Spreads in Currency Markets [Optimal and naive diversification in currency markets]," Review of Asset Pricing Studies, Oxford University Press, vol. 12(1), pages 336-388.
• Pedro Barroso & Konark Saxena, 2022. "Lest We Forget: Learn from Out-of-Sample Forecast Errors When Optimizing Portfolios [Inferring reporting-related biases in hedge fund databases from hedge fund equity holdings]," Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1222-1278.
• Guellil, Mohammed Seghir & Sari-Hassoun, Salah Eddine & Chica-Olmo, Jorge & Saraç, Mehmet, 2022. "What are the main factors driving behind the MENA countries current account deficit? A panel logit approach analysis [¿Cuáles son los principales factores que impulsan el déficit de cuenta corrient," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 134-153, June.
• Victor Olkhov, 2022. "Introduction of the Market-Based Price Autocorrelation," Papers 2202.09323, arXiv.org.
  • Olkhov, Victor, 2022. "Introduction of the Market-Based Price Autocorrelation," MPRA Paper 112003, University Library of Munich, Germany.
• Pincheira, Pablo & Hardy, Nicolas, 2022. "Correlation Based Tests of Predictability," MPRA Paper 112014, University Library of Munich, Germany.
• Victor Olkhov, 2022. "Price and Payoff Autocorrelations in the Consumption-Based Asset Pricing Model," Papers 2204.07506, arXiv.org.
  • Olkhov, Victor, 2022. "Price and Payoff Autocorrelations in the Consumption-Based Asset Pricing Model," MPRA Paper 112255, University Library of Munich, Germany.
• Tut, Daniel, 2022. "Bitcoin: Future or Fad?," MPRA Paper 112376, University Library of Munich, Germany.
• Xu, Jack, 2022. "Fundamental Credit Analysis through Dynamical Modeling and Simulation of the Balance Sheet: Applications to Chinese Real Estate Developers," MPRA Paper 112699, University Library of Munich, Germany.
• Victor Olkhov, 2022. "The Market-Based Asset Price Probability," Papers 2205.07256, arXiv.org.
  • Olkhov, Victor, 2022. "The Market-Based Asset Price Probability," MPRA Paper 113096, University Library of Munich, Germany.
• Syed Abul, Basher & Perry, Sadorsky, 2022. "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper 113293, University Library of Munich, Germany.
• Dean Fantazzini, 2022. "Crypto-Coins and Credit Risk: Modelling and Forecasting Their Probability of Death," JRFM, MDPI, vol. 15(7), pages 1-34, July.
  • Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
• Carla Marques & Francisco Augusto & Ricardo Martinho, 2022. "Modelling the financial situation of Portuguese firms using micro-data: a simulation for the COVID-19 pandemic," Working Papers o202203, Banco de Portugal, Economics and Research Department.
• Savvakis C. Savvides, 2022. "Risk Through the Looking-Glass," Development Discussion Papers 2022-06, JDI Executive Programs.
• Cherkasova, Victoria & Nenuzhenko, Irina, 2022. "Investment in ESG Projects and Corporate Performance of Multinational Companies," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(1), pages 54-92.
• Umair Bin YOUSAF & Khalil JEBRAN & Man WANG, 2022. "A Comparison of Static, Dynamic and Machine Learning Models in Predicting the Financial Distress of Chinese Firms," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 122-138, April.
• Umair Bin YOUSAF & Khalil JEBRAN & Man WANG, 2022. "A Comparison of Static, Dynamic and Machine Learning Models in Predicting the Financial Distress of Chinese Firms," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 123-139, April.
• Ömer ÖNALAN, 2022. "Joint Modelling of S&P500 and VIX Indices with Rough Fractional Ornstein-Uhlenbeck Volatility Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 68-84, April.
• Ömer ÖNALAN, 2022. "Joint Modelling of S&P500 and VIX Indices with Rough Fractional Ornstein-Uhlenbeck Volatility Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 69-85, April.
• Bahram Adrangi & Arjun Chatrath, 2022. "Dynamic Responses of Major Pacific Rim Emerging Equity Markets to the US Crude Oil Fear Index (OVX)," Bulletin of Applied Economics, Risk Market Journals, vol. 9(1), pages 51-84.
• Hui Zeng & Ben R Marshall & Nhut H Nguyen & Nuttawat Visaltanachoti, 2022. "Are individual stock returns predictable?," Australian Journal of Management, Australian School of Business, vol. 47(1), pages 135-162, February.
• Ummul Ruthbah, 2022. "The retirement puzzle," Australian Journal of Management, Australian School of Business, vol. 47(2), pages 342-367, May.
• Ranajit Kumar Bairagi, 2022. "Dynamic Impacts of Economic Policy Uncertainty on Australian Stock Market: An Intercontinental Evidence," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 64-91, March.
• Vamsidhar Ambatipudi & Dilip Kumar, 2022. "Economic Policy Uncertainty Versus Sector Volatility: Evidence from India Using Multi-scale Wavelet Granger Causality Analysis," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(2), pages 184-210, June.
• Fabio Bellini & Edit Rroji & Carlo Sala, 2022. "Implicit quantiles and expectiles," Annals of Operations Research, Springer, vol. 313(2), pages 733-753, June.
• Damiano Rossello, 2022. "Performance measurement with expectiles," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 343-374, June.
• Yuting Chen & Don Bredin & Valerio Potì & Roman Matkovskyy, 2022. "COVID risk narratives: a computational linguistic approach to the econometric identification of narrative risk during a pandemic," Digital Finance, Springer, vol. 4(1), pages 17-61, March.
• Helmut Wasserbacher & Martin Spindler, 2022. "Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls," Digital Finance, Springer, vol. 4(1), pages 63-88, March.
• Budi Wahyono, 2022. "The value of political connections and Sharia compliance during the COVID-19 pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 1-28, March.
• Gianluca P. M. Virgilio, 2022. "A theory of very short-time price change: security price drivers in times of high-frequency trading," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-34, December.
• Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Akinseye, Ademola B. & Ogunbowale, Gideon O., 2022. "Oil and multinational technology stocks: Predicting fear with fear at the first and higher order moments," Finance Research Letters, Elsevier, vol. 46(PA).
• Abdallah, Abed Al-Nasser & Abdallah, Wissam & Saad, Mohsen, 2022. "The impact of national culture on the synchronicity of cross-listed firms," Finance Research Letters, Elsevier, vol. 46(PA).
• Caporin, Massimiliano & Garcia-Jorcano, Laura & Jimenez-Martin, Juan-Angel, 2022. "Measuring systemic risk during the COVID-19 period: A TALIS3 approach," Finance Research Letters, Elsevier, vol. 46(PA).
• Taussig, Roi D., 2022. "Market prices, analysts' predictions, and Covid19," Finance Research Letters, Elsevier, vol. 46(PA).
• Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš, 2022. "YOLO trading: Riding with the herd during the GameStop episode," Finance Research Letters, Elsevier, vol. 46(PA).
  • Lyócsa, Štefan & Baumöhl, Eduard & Vŷrost, Tomáš, 2021. "YOLO trading: Riding with the herd during the GameStop episode," EconStor Preprints 230679, ZBW - Leibniz Information Centre for Economics.
• Kim, Hyuksoo & Kim, Saejoon, 2022. "Managing downside risk of low-risk anomaly portfolios," Finance Research Letters, Elsevier, vol. 46(PB).
• Jiang, Wen & Xu, Qiuhua & Zhang, Ruige, 2022. "Tail-event driven network of cryptocurrencies and conventional assets," Finance Research Letters, Elsevier, vol. 46(PB).
• Fung, Kennard & Jeong, Jiin & Pereira, Javier, 2022. "More to cryptos than bitcoin: A GARCH modelling of heterogeneous cryptocurrencies," Finance Research Letters, Elsevier, vol. 47(PA).
• Doan, Bao & Lee, John B. & Liu, Qianqiu & Reeves, Jonathan J., 2022. "Beta measurement with high frequency returns," Finance Research Letters, Elsevier, vol. 47(PA).
• Apergis, Nicholas, 2022. "COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling," Finance Research Letters, Elsevier, vol. 47(PA).
• Su, Hao & Ying, Chengwei & Zhu, Xiaoneng, 2022. "Disaster risk matters in the bond market," Finance Research Letters, Elsevier, vol. 47(PA).
• Nonejad, Nima, 2022. "An interesting finding about the ability of geopolitical risk to forecast aggregate equity return volatility out-of-sample," Finance Research Letters, Elsevier, vol. 47(PB).
• Torri, Gabriele & Radi, Davide & Dvořáčková, Hana, 2022. "Catastrophic and systemic risk in the non-life insurance sector: A micro-structural contagion approach," Finance Research Letters, Elsevier, vol. 47(PB).
• Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled, 2022. "How do financial and commodity markets volatility react to real economic activity?," Finance Research Letters, Elsevier, vol. 47(PB).
• Akron, Sagi & Taussig, Roi D., 2022. "Income statement leverage and expected stock returns," Finance Research Letters, Elsevier, vol. 47(PB).
• Pan, Ging-Ginq & Shiu, Yung-Ming & Wu, Tu-Cheng, 2022. "Can risk-neutral skewness and kurtosis subsume the information content of historical jumps?," Journal of Financial Markets, Elsevier, vol. 57(C).
• Li, Zeming & Sakkas, Athanasios & Urquhart, Andrew, 2022. "Intraday time series momentum: Global evidence and links to market characteristics," Journal of Financial Markets, Elsevier, vol. 57(C).
• Jurkatis, Simon, 2022. "Inferring trade directions in fast markets," Journal of Financial Markets, Elsevier, vol. 58(C).
• Grønborg, Niels S. & Lunde, Asger & Olesen, Kasper V. & Vander Elst, Harry, 2022. "Realizing correlations across asset classes," Journal of Financial Markets, Elsevier, vol. 59(PA).
• Truong, Chi & Sheen, Jeffrey & Trück, Stefan & Villafuerte, James, 2022. "Early warning systems using dynamic factor models: An application to Asian economies," Journal of Financial Stability, Elsevier, vol. 58(C).
• Boubakri, Narjess & Bouslimi, Lobna & Zhong, Rui, 2022. "Political uncertainty and analysts’ forecasts: International evidence," Journal of Financial Stability, Elsevier, vol. 59(C).
• Pitera, Marcin & Schmidt, Thorsten, 2022. "Estimating and backtesting risk under heavy tails," Insurance: Mathematics and Economics, Elsevier, vol. 104(C), pages 1-14.
• Jin, Xiaoye, 2022. "Performance of intraday technical trading in China’s gold market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
• Ball, Ray & Nikolaev, Valeri V., 2022. "On earnings and cash flows as predictors of future cash flows," Journal of Accounting and Economics, Elsevier, vol. 73(1).
• Hsu, Charles & Wang, Rencheng & Whipple, Benjamin C., 2022. "Non-GAAP earnings and stock price crash risk," Journal of Accounting and Economics, Elsevier, vol. 73(2).
• Gao, Yang & Leung, Henry & Satchell, Stephen, 2022. "Partial moment momentum," Journal of Banking & Finance, Elsevier, vol. 135(C).
• Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2022. "Momentum-Managed Equity Factors," Journal of Banking & Finance, Elsevier, vol. 137(C).
• Golosnoy, Vasyl & Gribisch, Bastian, 2022. "Modeling and forecasting realized portfolio weights," Journal of Banking & Finance, Elsevier, vol. 138(C).
• Ye, Xiaoxia & Yu, Fan & Zhao, Ran, 2022. "Credit derivatives and corporate default prediction," Journal of Banking & Finance, Elsevier, vol. 138(C).
• Bianchi, Daniele & Babiak, Mykola, 2022. "On the performance of cryptocurrency funds," Journal of Banking & Finance, Elsevier, vol. 138(C).
• Bianchi, Daniele & Babiak, Mykola & Dickerson, Alexander, 2022. "Trading volume and liquidity provision in cryptocurrency markets," Journal of Banking & Finance, Elsevier, vol. 142(C).
• Klein, Tony, 2022. "Agree to disagree? Predictions of U.S. nonfarm payroll changes between 2008 and 2020 and the impact of the COVID19 labor shock," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 264-286.
• Han, Yufeng & Huang, Dashan & Huang, Dayong & Zhou, Guofu, 2022. "Expected return, volume, and mispricing," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1295-1315.
• Obaid, Khaled & Pukthuanthong, Kuntara, 2022. "A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news," Journal of Financial Economics, Elsevier, vol. 144(1), pages 273-297.
• Back, Kerry & Crotty, Kevin & Kazempour, Seyed Mohammad, 2022. "Validity, tightness, and forecasting power of risk premium bounds," Journal of Financial Economics, Elsevier, vol. 144(3), pages 732-760.
• Ermolov, Andrey, 2022. "Time-varying risk of nominal bonds: How important are macroeconomic shocks?," Journal of Financial Economics, Elsevier, vol. 145(1), pages 1-28.
• Chabi-Yo, Fousseni & Huggenberger, Markus & Weigert, Florian, 2022. "Multivariate crash risk," Journal of Financial Economics, Elsevier, vol. 145(1), pages 129-153.
• Leippold, Markus & Wang, Qian & Zhou, Wenyu, 2022. "Machine learning in the Chinese stock market," Journal of Financial Economics, Elsevier, vol. 145(2), pages 64-82.
• Huang, Shiyang & Lee, Charles M.C. & Song, Yang & Xiang, Hong, 2022. "A frog in every pan: Information discreteness and the lead-lag returns puzzle," Journal of Financial Economics, Elsevier, vol. 145(2), pages 83-102.
• Degiannakis, Stavros & Filis, George, 2022. "Oil price volatility forecasts: What do investors need to know?," Journal of International Money and Finance, Elsevier, vol. 123(C).
  • Degiannakis, Stavros & Filis, George, 2019. "Oil price volatility forecasts: What do investors need to know?," MPRA Paper 94445, University Library of Munich, Germany.
• Haarstad, Aleksander H. & Lavrutich, Maria & Strypet, Kristian & Strøm, Eivind, 2022. "Multi-commodity price risk hedging in the Atlantic salmon farming industry," Journal of Commodity Markets, Elsevier, vol. 25(C).
• Liu, Guangqiang & Guo, Xiaozhu, 2022. "Forecasting stock market volatility using commodity futures volatility information," Resources Policy, Elsevier, vol. 75(C).
• Yan, Xiang & Bai, Jiancheng & Li, Xiafei & Chen, Zhonglu, 2022. "Can dimensional reduction technology make better use of the information of uncertainty indices when predicting volatility of Chinese crude oil futures?," Resources Policy, Elsevier, vol. 75(C).
• Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
• Zhang, Lixia & Luo, Qin & Guo, Xiaozhu & Umar, Muhammad, 2022. "Medium-term and long-term volatility forecasts for EUA futures with country-specific economic policy uncertainty indices," Resources Policy, Elsevier, vol. 77(C).
• Zhang, Li & Wang, Lu & Wang, Xunxiao & Zhang, Yaojie & Pan, Zhigang, 2022. "How macro-variables drive crude oil volatility? Perspective from the STL-based iterated combination method," Resources Policy, Elsevier, vol. 77(C).
• Kumar, Pawan & Singh, Vipul Kumar, 2022. "Systemic spillover dynamics of crude oil with Indian Financial indicators in post WPI revision and COVID era," Resources Policy, Elsevier, vol. 77(C).
• Vega Baquero, Juan David & Santolino, Miguel, 2022. "Too big to fail? An analysis of the Colombian banking system through compositional data," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).
• Jurdi, Doureige J., 2022. "Predicting the Australian equity risk premium," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
• Hiroki, Takashi & Iwatsubo, Kentaro & Watkins, Clinton, 2022. "Does firm-level productivity predict stock returns?," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
• Umar, Zaghum & Yousaf, Imran & Gubareva, Mariya & Vo, Xuan Vinh, 2022. "Spillover and risk transmission between the term structure of the US interest rates and Islamic equities," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
• Huang, Jing-Zhi & Ni, Jun & Xu, Li, 2022. "Leverage effect in cryptocurrency markets," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
• Li, Wei-Zhen & Zhai, Jin-Rui & Jiang, Zhi-Qiang & Wang, Gang-Jin & Zhou, Wei-Xing, 2022. "Predicting tail events in a RIA-EVT-Copula framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
• Nguyen, Tien-Trung & Wu, Yang-Che & Ke, Mei-Chu & Liao, Tung Liang, 2022. "Can direct government intervention save the stock market?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 271-284.
• Marthinsen, John E. & Gordon, Steven R., 2022. "The price and cost of bitcoin," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 280-288.
• Salisu, Afees A. & Cuñado, Juncal & Gupta, Rangan, 2022. "Geopolitical risks and historical exchange rate volatility of the BRICS," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 179-190.
  • Afees A. Salisu & Juncal Cunado & Rangan Gupta, 2020. "Geopolitical Risks and Historical Exchange Rate Volatility of the BRICS," Working Papers 2020105, University of Pretoria, Department of Economics.
• Takamizawa, Hideyuki, 2022. "How arbitrage-free is the Nelson–Siegel model under stochastic volatility?," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 205-223.
• Umar, Zaghum & Riaz, Yasir & Aharon, David Y., 2022. "Network connectedness dynamics of the yield curve of G7 countries," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 275-288.
• López-Martín, Carmen & Arguedas-Sanz, Raquel & Muela, Sonia Benito, 2022. "A cryptocurrency empirical study focused on evaluating their distribution functions," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 387-407.
• Tan, Yuanyue & Wang, Zhiqiang & Xiong, Haifang & Liu, Yue, 2022. "Fundamental momentum and enhanced fundamental momentum: Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 680-693.
• Wu, Chunying & Xiong, Xiong & Gao, Ya, 2022. "The role of different information sources in information spread: Evidence from three media channels in China," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 327-341.
• Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je & Gau, Yin-Feng, 2022. "Risk-return trade-off in the Australian Securities Exchange: Accounting for overnight effects, realized higher moments, long-run relations, and fractional cointegration," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 384-401.
• Xiao, Jihong & Wang, Yudong, 2022. "Good oil volatility, bad oil volatility, and stock return predictability," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 953-966.
• Yuan, Kunpeng & Chi, Guotai & Zhou, Ying & Yin, Hailei, 2022. "A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description," Research in International Business and Finance, Elsevier, vol. 59(C).
• Dharani, Munusamy & Hassan, M. Kabir & Rabbani, Mustafa Raza & Huq, Tahsin, 2022. "Does the Covid-19 pandemic affect faith-based investments? Evidence from global sectoral indices," Research in International Business and Finance, Elsevier, vol. 59(C).
• Kristóf, Tamás & Virág, Miklós, 2022. "EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks," Research in International Business and Finance, Elsevier, vol. 61(C).
• Plastun, Alex & Bouri, Elie & Havrylina, Ahniia & Ji, Qiang, 2022. "Calendar anomalies in passion investments: Price patterns and profit opportunities," Research in International Business and Finance, Elsevier, vol. 61(C).
• Yu, Baojun & Li, Changming & Mirza, Nawazish & Umar, Muhammad, 2022. "Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
• Yan, Lei & Mirza, Nawazish & Umar, Muhammad, 2022. "The cryptocurrency uncertainties and investment transitions: Evidence from high and low carbon energy funds in China," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
• Edson Z. Monte & Lucas B. Defanti, 2022. "Dynamic Interdependence and Volatility Transmission from the American to the Brazilian Stock Market," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 65(1), pages 52-73.
• Calonaci, Fabio & Kapetanios, George & Price, Simon, 2022. "Stock returns predictability with unstable predictors," Essex Finance Centre Working Papers 32331, University of Essex, Essex Business School.
  • Fabio Calonaci & George Kapetanios & Simon Price, 2022. "Stock returns predictability with unstable predictors," CAMA Working Papers 2022-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Gil Cohen, 2022. "Artificial Intelligence in Trading the Financial Markets," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 101-110.
• Fabio Calonaci & George Kapetanios & Simon Price, 2022. "Stock returns predictability with unstable predictors," CAMA Working Papers 2022-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Calonaci, Fabio & Kapetanios, George & Price, Simon, 2022. "Stock returns predictability with unstable predictors," Essex Finance Centre Working Papers 32331, University of Essex, Essex Business School.
• Filippo Ferroni, 2022. "How Interconnected Are Cryptocurrencies and What Does This Mean for Risk Management," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue 466, pages 1-5, March.
• Elena V. Ryabova & Natalia V. Feruleva & Olga A. Zamotaeva, 2022. "Assessing the Investment Attractiveness of Oil Field Development Projects under the Tax Maneuver: The Evidence from West Siberia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 127006, Russia, issue 3, pages 86-101, June.
• Sisa Shiba & Juncal Cunado & Rangan Gupta, 2022. "Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases," JRFM, MDPI, vol. 15(1), pages 1-18, January.
  • Sisa Shiba & Juncal Cunado & Rangan Gupta, 2021. "Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases," Working Papers 202181, University of Pretoria, Department of Economics.
• Dean Fantazzini, 2022. "Crypto-Coins and Credit Risk: Modelling and Forecasting Their Probability of Death," JRFM, MDPI, vol. 15(7), pages 1-34, July.
  • Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
• Ramis Khabibullin & Alexey Ponomarenko, 2022. "An empirical behavioral model of household’s deposit dollarization," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(3), pages 827-847, July.
  • Ramis Khabibullin & Alexey Ponomarenko, 2020. "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series wps67, Bank of Russia.
• Panagiotis Anastasiadis & Stephanos Papadamou, 2022. "The dimension of popularity in the cryptocurrency market," SN Business & Economics, Springer, vol. 2(5), pages 1-15, May.
• Wilton Bernardino & João B. Amaral & Nelson L. Paes & Raydonal Ospina & José L. Távora, 2022. "A statistical investigation of a stock valuation model," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
• Beckmann, Joscha & Czudaj, Robert L., 2020. "Fundamental determinants of exchange rate expectations," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224617, Verein für Socialpolitik / German Economic Association.
  • Joscha Beckmann & Robert L. Czudaj, 2022. "Fundamental determinants of exchange rate expectations," Chemnitz Economic Papers 056, Department of Economics, Chemnitz University of Technology, revised Mar 2022.
• Alexander Georges Gretener & Matthias Neuenkirch & Dennis Umlandt, 2022. "Dynamic Mixture Vector Autoregressions with Score-Driven Weights," Research Papers in Economics 2022-02, University of Trier, Department of Economics.
  • Alexander Georges Gretener & Matthias Neuenkirch & Dennis Umlandt, 2022. "Dynamic Mixture Vector Autoregressions with Score-Driven Weights," Working Paper Series 2022-02, University of Trier, Research Group Quantitative Finance and Risk Analysis.
• Alexander Georges Gretener & Matthias Neuenkirch & Dennis Umlandt, 2022. "Dynamic Mixture Vector Autoregressions with Score-Driven Weights," Working Paper Series 2022-02, University of Trier, Research Group Quantitative Finance and Risk Analysis.
  • Alexander Georges Gretener & Matthias Neuenkirch & Dennis Umlandt, 2022. "Dynamic Mixture Vector Autoregressions with Score-Driven Weights," Research Papers in Economics 2022-02, University of Trier, Department of Economics.
• Luca Bagato & Alessio Gioia & Enrico Mandelli, 2022. "A Reflexivity-Volatility Based Risk Assessment Tool," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 130(1), pages 29-44.
• Michael Curran & Patrick O'Sullivan & Ryan Zalla, 2020. "Can Volatility Solve the Naive Portfolio Puzzle?," Papers 2005.03204, arXiv.org, revised Feb 2022.
  • Michael Curran & Patrick O'Sullivan & Ryan Zalla, 2022. "Can Volatility Solve the Naive Portfolio Puzzle?," Villanova School of Business Department of Economics and Statistics Working Paper Series 52, Villanova School of Business Department of Economics and Statistics.
• Barbu Teodora Cristina & Boitan Iustina Alina & Cepoi Cosmin-Octavian, 2022. "Are cryptocurrencies safe havens during the COVID-19 pandemic? A threshold regression perspective with pandemic-related benchmarks," Economics and Business Review, Sciendo, vol. 8(2), pages 29-49, July.
• Kropiński Paweł & Anholcer Marcin, 2022. "How Google Trends can improve market predictions— the case of the Warsaw Stock Exchange," Economics and Business Review, Sciendo, vol. 8(2), pages 7-28, July.
• Dumiter Florin Cornel & Turcaș Florin Marius, 2022. "Theoretical and empirical underpinnings regarding stock market forecasts and predictions," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 32(1), pages 1-19, March.
• Stavros Degiannakis, 2022. "Stock market as a nowcasting indicator for real investment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 911-919, August.
  • Degiannakis, Stavros, 2021. "Stock market as a nowcasting indicator for real investment," MPRA Paper 110914, University Library of Munich, Germany.
• Wosnitza, Jan Henrik, 2022. "Calibration alternatives to logistic regression and their potential for transferring the dispersion of discriminatory power into uncertainties of probabilities of default," Discussion Papers 04/2022, Deutsche Bundesbank.
• Krüger, Ulrich & Roling, Christoph & Silbermann, Leonid & Wong, Lui Hsian, 2022. "Banks' strategic interaction, adverse price dynamics and systemic liquidity risk," Discussion Papers 06/2022, Deutsche Bundesbank.

2021

• Parthajit Kayal & Sumanjay Dutta & Vipul Khandelwal & Rakesh Nigam, 2021. "Information Theoretic Ranking of Extreme Value Returns," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 1-21, March.
• Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
• Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
  • Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
• Nikolaos Stoupos & Apostolos Kiohos, 2021. "BREXIT referendum’s impact on the financial markets in the UK," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(1), pages 1-19, February.
• Yu-Min Lian & Chia-Hsuan Li & Yi-Hsuan Wei, 2021. "Machine Learning and Time Series Models for VNQ Market Predictions," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(5), pages 1-2.
• Anne Opschoor & André Lucas & István Barra & Dick van Dijk, 2021. "Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 1066-1079, October.
  • Anne Opschoor & André Lucas & Istvan Barra & Dick van Dijk, 2019. "Closed-Form Multi-Factor Copula Models with Observation-Driven Dynamic Factor Loadings," Tinbergen Institute Discussion Papers 19-013/IV, Tinbergen Institute, revised 23 Oct 2019.
• Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
  • Faria, Gonçalo & Verona, Fabio, 2020. "Time-frequency forecast of the equity premium," Research Discussion Papers 6/2020, Bank of Finland.
• Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2021. "The frequency of one-day abnormal returns and price fluctuations in the forex," Journal of Applied Economics, Taylor & Francis Journals, vol. 24(1), pages 401-415, January.
  • Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2020. "The Frequency of One-Day Abnormal Returns and Price Fluctuations in the FOREX," CESifo Working Paper Series 8196, CESifo.
• Martin Llada, 2021. "Relationship between country risk volatility and indices based on unstructured information," Estudios de Economia, University of Chile, Department of Economics, vol. 48(2 Year 20), pages 175-218, December.
• Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021. "Evaluating forecast performance with state dependence," Economics Working Papers 1800, Department of Economics and Business, Universitat Pompeu Fabra.
• Ristić Kristijan & Jemović Mirjana, 2021. "Analysis of Non-Performing Loans’ Determinants in the Banking Sector of the Republic of Serbia," Economic Themes, Sciendo, vol. 59(1), pages 133-151, March.
• Habibi Reza, 2021. "Application of Predictive Methods to Financial Data Sets," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 17(1), pages 50-61, March.
• Habibi Reza, 2021. "Bayesian Online Change Point Detection in Finance," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 17(4), pages 27-33, December.
• Pilch Bartłomiej, 2021. "An analysis of the effectiveness of bankruptcy prediction models – an industry approach," Folia Oeconomica Stetinensia, Sciendo, vol. 21(2), pages 76-96, December.
• Sika Peter & Vidová Jarmila, 2021. "Reality and expectations of old-age pension savings in the pension system of the Slovak Republic," Review of Economic Perspectives, Sciendo, vol. 21(4), pages 411-436, December.
• Ceylan Nesrin & Münyas Turgay, 2021. "An Empirical Investigation on the Relationship Between the Eurozone Zew Index and the Eurozone Stock Markets," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 31(4), pages 1-17, December.
• Reinhard Ellwanger, Stephen Snudden, 2021. "Predictability of Aggregated Time Series," LCERPA Working Papers bm0127, Laurier Centre for Economic Research and Policy Analysis.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2021. "No‐arbitrage priors, drifting volatilities, and the term structure of interest rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 495-516, August.
  • Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2014. "No Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," CEPR Discussion Papers 9848, C.E.P.R. Discussion Papers.
  • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "No-Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," Working Papers 20-27, Federal Reserve Bank of Cleveland.
• Janis Becker & Christian Leschinski, 2021. "Estimating the volatility of asset pricing factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 269-278, March.
  • Becker, Janis & Leschinski, Christian, 2018. "Estimating the Volatility of Asset Pricing Factors," Hannover Economic Papers (HEP) dp-631, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Hyeongwoo Kim & Wen Shi, 2021. "Forecasting financial vulnerability in the USA: A factor model approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 439-457, April.
  • Hyeongwoo Kim & Wen Shi, 2016. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," Auburn Economics Working Paper Series auwp2016-15, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Wen Shi, 2020. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," Auburn Economics Working Paper Series auwp2020-04, Department of Economics, Auburn University.
  • Kim, Hyeongwoo & Shi, Wen, 2018. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," MPRA Paper 89766, University Library of Munich, Germany.
  • Hyeongwoo Kim & Wen Shi, 2018. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," Auburn Economics Working Paper Series auwp2018-07, Department of Economics, Auburn University.
• Gregor Semieniuk & Emanuele Campiglio & Jean‐Francois Mercure & Ulrich Volz & Neil R. Edwards, 2021. "Low‐carbon transition risks for finance," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
  • Gregor Semieniuk & Emanuele Campiglio & Jean-Francois Mercure & Ulrich Volz & Neil R. Edwards, 2020. "Low-carbon transition risks for finance," Working Papers 233, Department of Economics, SOAS, University of London, UK.
• Garg, Karan, 2021. "Machines and Markets : Assessing the Impact of Algorithmic Trading on Financial Market Efficiency," Warwick-Monash Economics Student Papers 11, Warwick Monash Economics Student Papers.
• Mikael Juselius & Nikola Tarashev, 2021. "Could corporate credit losses turn out higher than expected?," BIS Bulletins 46, Bank for International Settlements.
  • Juselius, Mikael & Tarashev, Nikola A., 2021. "Could corporate credit losses turn out higher than expected?," BoF Economics Review 3/2021, Bank of Finland.
• Barasinska, Nataliya & Ludwig, Johannes & Vogel, Edgar, 2021. "The impact of borrower-based instruments on household vulnerability in Germany," Discussion Papers 20/2021, Deutsche Bundesbank.
• Moench, Emanuel & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," CEPR Discussion Papers 16357, C.E.P.R. Discussion Papers.
  • Mönch, Emanuel & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," Discussion Papers 25/2021, Deutsche Bundesbank.
• Chabi-Yo, Fousseni & Huggenberger, Markus & Weigert, Florian, 2021. "Multivariate crash risk," CFR Working Papers 21-07, University of Cologne, Centre for Financial Research (CFR).
• Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš, 2022. "YOLO trading: Riding with the herd during the GameStop episode," Finance Research Letters, Elsevier, vol. 46(PA).
  • Lyócsa, Štefan & Baumöhl, Eduard & Vŷrost, Tomáš, 2021. "YOLO trading: Riding with the herd during the GameStop episode," EconStor Preprints 230679, ZBW - Leibniz Information Centre for Economics.
• Virla, Leonardo Quero, 2021. "An empirical characterization of volatility dynamics in the DAX," IPE Working Papers 167/2021, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
• Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2021. "Momentum-managed equity factors," SAFE Working Paper Series 317, Leibniz Institute for Financial Research SAFE.
• Anese, Gianluca & Corazza, Marco & Costola, Michele & Pelizzon, Loriana, 2021. "Impact of public news sentiment on stock market index return and volatility," SAFE Working Paper Series 322, Leibniz Institute for Financial Research SAFE.
• Brückbauer, Frank & Schröder, Michael, 2021. "Data resource profile: The ZEW FMS dataset," ZEW Discussion Papers 21-100, ZEW - Leibniz Centre for European Economic Research.
• Boubaker, Sabri & Liu, Zhenya & Lu, Shanglin & Zhang, Yifan, 2021. "Trading signal, functional data analysis and time series momentum," Finance Research Letters, Elsevier, vol. 42(C).
  • Boubaker, S. & Liu, Z. & Lu, S. & Zhang, y., 2021. "Trading signal, functional data analysis and time series momentum," Post-Print hal-03323675, HAL.
• Liu, Zhenya & Lu, Shanglin & Wang, Shixuan, 2021. "Asymmetry, tail risk and time series momentum," International Review of Financial Analysis, Elsevier, vol. 78(C).
  • Zhenya Liu & Shanglin Lu & Shixuan Wang, 2021. "Asymmetry, tail risk and time series momentum," Post-Print hal-03511436, HAL.
• Al-Ansari, Khalid Ahmed & Aysan, Ahmet Faruk, 2021. "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading?," MPRA Paper 109720, University Library of Munich, Germany.
  • Khalid Ahmed Al-Ansari & Ahmet Aysan, 2021. "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading? [Plus de dix ans de création Blockchain : Comment avons-nous utilisé la techno," Working Papers hal-03343048, HAL.
• Virk, Nader & Javed, Farrukh & Awartani, Basel, 2021. "A reality check on the GARCH-MIDAS volatility models," Working Papers 2021:2, Örebro University, School of Business.
• Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2021. "Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian VARs with non-Gaussian Disturbances," Working Papers 2021:9, Örebro University, School of Business.
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• Davide Di Zio & Marco Fanari & Simone Letta & Tommaso Perez & Giovanni Secondin, 2021. "The strategic allocation and sustainability of central banks' investment," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 14, Bank of Italy, Directorate General for Markets and Payment System.
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• Huang, Yin-Siang & Chuang, Hui-Ching & Hasan, Iftekhar & Lin, Chih-Yung, 2021. "The effect of language on investing: Evidence from searches in Chinese versus English," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
• Umar, Zaghum & Yousaf, Imran & Aharon, David Y., 2021. "The relationship between yield curve components and equity sectorial indices: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
• Chiang, Mi-Hsiu & Chiu, Hsin-Yu & Kuo, Wei-Yu, 2021. "Predictive ability of similarity-based futures trading strategies," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
• Ardila-Alvarez, Diego & Forro, Zalan & Sornette, Didier, 2021. "The acceleration effect and Gamma factor in asset pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
• Borgards, Oliver & Czudaj, Robert L., 2021. "Features of overreactions in the cryptocurrency market," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 31-48.
• Tissaoui, Kais & Zaghdoudi, Taha, 2021. "Dynamic connectedness between the U.S. financial market and Euro-Asian financial markets: Testing transmission of uncertainty through spatial regressions models," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 481-492.
• Ulze, Markus & Stadler, Johannes & Rathgeber, Andreas W., 2021. "No country for old distributions? On the comparison of implied option parameters between the Brownian motion and variance gamma process," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 163-184.
• Kim, Hyun-Dong & Park, Kwangwoo & Song, Kyojik Roy, 2021. "Organization capital and analysts’ forecasts," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 762-778.
• Plíhal, Tomáš & Lyócsa, Štefan, 2021. "Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 811-829.
• Chen, Shun & Ge, Lei, 2021. "A learning-based strategy for portfolio selection," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 936-942.
• Rakovská, Zuzana, 2021. "Composite survey sentiment as a predictor of future market returns: Evidence for German equity indices," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 473-495.
  • Zuzana Rakovska, 2020. "Composite Survey Sentiment as a Predictor of Future Market Returns: Evidence for German Equity Indices," Working Papers 2020/13, Czech National Bank.
• Xiao, Jihong & Wen, Fenghua & Zhao, Yupei & Wang, Xiong, 2021. "The role of US implied volatility index in forecasting Chinese stock market volatility: Evidence from HAR models," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 311-333.
• Yang, Haijun & Xue, Feng, 2021. "Analysis of stock market volatility: Adjusted VPIN with high-frequency data," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 210-222.
• Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2021. "Systemic-systematic risk in financial system: A dynamic ranking based on expectiles," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 330-365.
• Lin, Sihan & Chen, Shoudong, 2021. "Dynamic connectedness of major financial markets in China and America," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 646-656.
• Zhou, Xuemei & Liu, Qiang & Guo, Shuxin, 2021. "Do overnight returns explain firm-specific investor sentiment in China?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 451-477.
• Ding, Xin & Tan, Wenhao & Kang, Yixuan, 2021. "The spillover effect of regulatory penalties on management and analysts’ earnings forecasts: Empirical evidence based on directors networks in China," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 502-515.
• Trabelsi, Nader & Gozgor, Giray & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2021. "Effects of Price of Gold on Bombay Stock Exchange Sectoral Indices: New Evidence for Portfolio Risk Management," Research in International Business and Finance, Elsevier, vol. 55(C).
• Laborda, Ricardo & Olmo, Jose, 2021. "Volatility spillover between economic sectors in financial crisis prediction: Evidence spanning the great financial crisis and Covid-19 pandemic," Research in International Business and Finance, Elsevier, vol. 57(C).
• Duan, Yuejiao & Liu, Lanbiao & Wang, Zhuo, 2021. "COVID-19 Sentiment and the Chinese Stock Market: Evidence from the Official News Media and Sina Weibo," Research in International Business and Finance, Elsevier, vol. 58(C).
• Edson Z. Monte & Lucas B. Defanti, 2021. "Dynamic Interdependence and Volatility Transmission from the American to the Brazilian Stock Market," EERI Research Paper Series EERI RP 2021/09, Economics and Econometrics Research Institute (EERI), Brussels.
• Beibei Yan & Özgür Arslan-Ayaydin & James Thewissen & Wouter Torsin, 2021. "Does managerial ability affect disclosure? Evidence from earnings press releases," Asian Review of Accounting, Emerald Group Publishing, vol. 29(2), pages 192-226, February.
• Ramiro Bautista Espinosa & Diana Terrazas Santamaría, 2021. "La viabilidad de invertir en almacenamiento de energía solar en México: un enfoque de opciones reales," Serie documentos de trabajo del Centro de Estudios Económicos 2021-09, El Colegio de México, Centro de Estudios Económicos.
• Tunahan Yilmaz, 2021. "Optimal Dynamic Hedging in Selected Markets," International Econometric Review (IER), Econometric Research Association, vol. 13(4), pages 89-117, December.
• Andrzej Geise & Magdalena Kuczmarska & Jarosław Pawlowski, 2021. "Corporate Failure Prediction of Construction Companies in Poland: Evidence from Logit Model," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 99-116.
• Eryka Probierz & Adam Galuszka & Katarzyna Klimczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2021. "Financial Sentiment on Twitter's Community and it's Connection to Polish Stock Market Movements in Context of Behavior Modelling," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 56-65.
• Bartosz Chorkowy & Agnieszka Bobrowska, 2021. "Influence of Pillar 3 of Pension System on Retirement Pensions Level in Poland: Will Voluntary Part of System Enable Decent Life in Old Age?," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 975-988.
• Paulo M.M. Rodrigues & Matei Demetrescu & Iliyan Georgiev & A.M. Robert Taylor, 2021. "Extensions to IVX methods of inference for return predictability," Working Papers w202104, Banco de Portugal, Economics and Research Department.
  • Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2022. "Extensions to IVX Methods of Inference for Return Predictability," Essex Finance Centre Working Papers 29779, University of Essex, Essex Business School.
• Martin Mandel & Jan Vejmelek, 2021. "Testing the Properties of Financial Analysts’ Predictions of Future Spot Exchange Rates (Example of CZK/EUR)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 71(1), pages 33-51, June.
• Michal Kuchta, 2021. "Scenario Generation for IFRS9 Purposes using a Bayesian MS-VAR Model," Working Papers IES 2021/10, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2021.
• Barbora Malinska, 2021. "Forecasting Sovereign Bond Realized Volatility Using Time-Varying Coefficients Model," Working Papers IES 2021/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2021.
• Jens H. E. Christensen & Mark M. Spiegel, 2021. "Central Bank Credibility During COVID-19: Evidence from Japan," Working Paper Series 2021-24, Federal Reserve Bank of San Francisco.
• Marcin Dec, 2021. "Parsimonious yield curve modeling in less liquid markets," GRAPE Working Papers 52, GRAPE Group for Research in Applied Economics.
• Abramov Alexander & Kosyrev Andrey & Radygin Alexander & Chernova Maria, 2021. "Behavior of Private Investors in the Stock Markets of Russia and the US [Поведение Частных Инвесторов На Фондовых Рынках России И Сша]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 54-59, December.
• Abramov Alexander & Kosyrev Andrey & Radygin Alexander & Chernova Maria, 2021. "Поведение Частных Инвесторов На Фондовых Рынках России И Сша," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 54-59, December.
• Paul Anglin & Jianxin Cui & Yanmin Gao & Li Zhang, 2021. "Analyst Forecasts during the COVID-19 Pandemic: Evidence from REITs," JRFM, MDPI, vol. 14(10), pages 1-21, September.
• Tamás Kiss & Hoang Nguyen & Pär Österholm, 2021. "Modelling Returns in US Housing Prices—You’re the One for Me, Fat Tails," JRFM, MDPI, vol. 14(11), pages 1-17, October.
  • Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2020. "Modelling Returns in US Housing Prices – You’re the One for Me, Fat Tails," Working Papers 2020:13, Örebro University, School of Business.
• Rui Pedro Gonçalves Brito & Pedro Maria Corte Real Alarcão Judice, 2021. "Efficient credit portfolios under IFRS 9," CeBER Working Papers 2021-07, Centre for Business and Economics Research (CeBER), University of Coimbra.
• Subhransu S. Mohanty & Odette Mohanty & Mike Ivanof, 2021. "Alpha enhancement in global equity markets with ESG overlay on factor-based investment strategies," Risk Management, Palgrave Macmillan, vol. 23(3), pages 213-242, September.
• Sebastian Letmathe & Yuanhua Feng & André Uhde, 2021. "Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall," Working Papers CIE 141, Paderborn University, CIE Center for International Economics.
• Inna Shkolnyk & Serhiy Kozmenko & Olga Kozmenko & Volodymyr Orlov & Fathi Shukairi, 2021. "Modeling of the financial system’s stability on the example of Ukraine," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(2), pages 377-411, June.
• Melinda Friesz & Kata Varadi, 2021. "How is it done? Comparison between the margin calculation methodology of central counterparties and clearinghouses," Public Finance Quarterly, State Audit Office of Hungary, vol. 66(3), pages 397-412.
• Pincheira, Pablo & Hardy, Nicolás & Muñoz, Felipe, 2021. ""Go wild for a while!": A new asymptotically Normal test for forecast evaluation in nested models," MPRA Paper 105368, University Library of Munich, Germany.
• Victor Olkhov, 2021. "To VaR, or Not to VaR, That is the Question," Papers 2101.08559, arXiv.org, revised Oct 2021.
  • Olkhov, Victor, 2021. "To VaR, or Not to VaR, That is the Question," MPRA Paper 105458, University Library of Munich, Germany.
• Erdinc Akyildirim & Ahmet Goncu & Alper Hekimoglu & Duc Khuong Nguyen & Ahmet Sensoy, 2021. "Statistical Arbitrage: Factor Investing Approach," Working Papers 2021-003, Department of Research, Ipag Business School.
  • Akyildirim, Erdinc & Goncu, Ahmet & Hekimoglu, Alper & Nguyen, Duc Khuong & Sensoy, Ahmet, 2021. "Statistical arbitrage: Factor investing approach," MPRA Paper 105766, University Library of Munich, Germany.
• Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
  • Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
• Pincheira, Pablo & Hardy, Nicolas, 2021. "The Mean Squared Prediction Error Paradox," MPRA Paper 107403, University Library of Munich, Germany.
• Pincheira, Pablo & Hardy, Nicolas & Bentancor, Andrea & Henriquez, Cristóbal & Tapia, Ignacio, 2021. "Forecasting Base Metal Prices with an International Stock Index," MPRA Paper 107828, University Library of Munich, Germany.
• Sakemoto, Ryuta, 2021. "Economic Evaluation of Cryptocurrency Investment," MPRA Paper 108283, University Library of Munich, Germany.
• Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2021. "Exploring volatility of crude oil intra-day return curves: a functional GARCH-X Model," MPRA Paper 109231, University Library of Munich, Germany.
• Khalid Ahmed Al-Ansari & Ahmet Aysan, 2021. "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading? [Plus de dix ans de création Blockchain : Comment avons-nous utilisé la techno," Working Papers hal-03343048, HAL.
  • Al-Ansari, Khalid Ahmed & Aysan, Ahmet Faruk, 2021. "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading?," MPRA Paper 109720, University Library of Munich, Germany.
• Ahamuefula E. Ogbonna & Olusanya E. Olubusoye, 2021. "Tail Risks and Stock Return Predictability - Evidence From Asia-Pacific," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 2(3), pages 1-6.
  • Ogbonna, Ahamuefula & Olubusoye, Olusanya E, 2021. "Tail Risks and Stock Return Predictability: Evidence From Asia-Pacific," MPRA Paper 109922, University Library of Munich, Germany.
• Astaiza-Gómez, José Gabriel, 2021. "The Effects of Investors' Information Acquisition On Sell-Side Analysts Forecast Bias," MPRA Paper 110059, University Library of Munich, Germany.
• Delis, Panagiotis & Degiannakis, Stavros & Giannopoulos, Kostantinos, 2021. "What should be taken into consideration when forecasting oil implied volatility index?," MPRA Paper 110831, University Library of Munich, Germany.
• Stavros Degiannakis, 2022. "Stock market as a nowcasting indicator for real investment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 911-919, August.
  • Degiannakis, Stavros, 2021. "Stock market as a nowcasting indicator for real investment," MPRA Paper 110914, University Library of Munich, Germany.
• Le, Tuan Anh & Dao, Thi Thanh Binh, 2021. "Portfolio optimization under mean-CVaR simulation with copulas on the Vietnamese stock exchange," MPRA Paper 111105, University Library of Munich, Germany.
• Riza Demirer & Rangan Gupta & He Li & Yu You, 2021. "Financial Vulnerability and Volatility in Emerging Stock Markets: Evidence from GARCH-MIDAS Models," Working Papers 202112, University of Pretoria, Department of Economics.
• Afees A. Salisu & Rangan Gupta, 2021. "Commodity Prices and Forecastability of South African Stock Returns Over a Century: Sentiments versus Fundamentals," Working Papers 202144, University of Pretoria, Department of Economics.
• Sisa Shiba & Juncal Cunado & Rangan Gupta, 2022. "Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases," JRFM, MDPI, vol. 15(1), pages 1-18, January.
  • Sisa Shiba & Juncal Cunado & Rangan Gupta, 2021. "Predictability of the Realised Volatility of International Stock Markets Amid Uncertainty Related to Infectious Diseases," Working Papers 202181, University of Pretoria, Department of Economics.
• Agnieszka Marciniuk, 2021. "Equity Release Contracts with Varying Payments," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(5), pages 552-574.
• Agnieszka Marciniuk, 2021. "Equity Release Contracts with Varying Payments," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(5), pages 552-574.
• Paulo M.M. Rodrigues & Matei Demetrescu & Iliyan Georgiev & A.M. Robert Taylor, 2021. "Extensions to IVX methods of inference for return predictability," Working Papers w202104, Banco de Portugal, Economics and Research Department.
  • Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2022. "Extensions to IVX Methods of Inference for Return Predictability," Essex Finance Centre Working Papers 29779, University of Essex, Essex Business School.
• Uddin, Gazi Salah & Tang, Ou & Sahamkhadam, Maziar & Taghizadeh-Hesary, Farhad & Yahya, Muhammad & Cerin, Pontus & Rehme, Jakob, 2021. "Analysis of Forecasting Models in an Electricity Market under Volatility," ADBI Working Papers 1212, Asian Development Bank Institute.
• Garafutdinov, Robert, 2021. "Influence of some ARFIMA model parameters on the accuracy of financial time series forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 62, pages 85-100.
• Potanin, Bogdan & Trifonov, Juri, 2021. "The influence of investors’ expectations on oil prices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 76-90.
• Senol, Zekai, 2021. "Volatility Spillover between the Stock Market, Exchange Rates, Interest Rates and CDS Premiums: Evidence from Turkey (Borsa Endeksi, Döviz Kuru, Faiz Oranları ve CDS Primleri Arasındaki Oynaklık Yayıl," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 12(1), pages 111-126, January.
• Dimingo, Roselyn & Muteba Mwamba, John W. & Bonga-Bonga, Lumengo, 2021. "Prediction of Stock Market Direction: Application of Machine Learning Models," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 74(4), pages 499-536.
• Chao YU & Xujie ZHAO, 2021. "Measuring the Jump Risk Contribution under Market Microstructure Noise – Evidence from Chinese Stock Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 32-47, December.
• Seema REHMAN & Saqib SHARIF & Wali ULLAH, 2021. "Higher Realized Moments and Stock Return Predictability," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 48-70, December.
• Daehyeon PARK & Doojin RYU, 2021. "Forecasting Stock Market Dynamics using Bidirectional Long Short-Term Memory," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 22-34, June.
• Fiza QURESHI & Saba QURESHI & Sobia Shafaq SHAH, 2021. "Do Mutual Fund Flows Influence Stock Market Volatility? Further Evidence from Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 35-51, June.
• L. El’shin A. & V. Banderov V. & A. Abdukaeva A. & Л. Ельшин А. & В. Бандеров В. & А. Абдукаева А., 2021. "Методика оценки влияния диффузии блокчейн-технологий на развитие национальной экономической системы (на примере экономики РФ) // Methodology for Assessing the Impact of the Diffusion of blockchain Tec," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 25(2), pages 145-165.
• I. Yakovenko V. & И. Яковенко В., 2021. "Математические модели реализации концепции жестких бюджетных ограничений в бюджетной системе // Mathematical Models for Implementation of the Concept of Hard budget Restrictions in the budgetary syste," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 25(3), pages 6-19.
• Reyes García, Nallely Jacqueline & Venegas Martínez, Francisco & Martínez Palacios, María Teresa Verónica, 2021. "Análisis comparativo entre el modelo ARMA y su versión continua CARMA sobre la dinámica del Índice de Precios y Cotizaciones de la Bolsa Mexicana de Valores / Comparative analysis between the ARMA mod," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 11(1), pages 33-57, enero-jun.
• Kamil Polak, 2021. "The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(16), pages 72-90, December.
• Chaeshick Chung & Sukjin Park, 2021. "Deep Learning Market Microstructure: Dual-Stage Attention-Based Recurrent Neural Networks," Working Papers 2108, Research Institute for Market Economy, Sogang University.
• Alessia Naccarato & Andrea Pierini & Giovanna Ferraro, 2021. "Markowitz portfolio optimization through pairs trading cointegrated strategy in long-term investment," Annals of Operations Research, Springer, vol. 299(1), pages 81-99, April.
• Alessandra Cretarola & Gianna Figà-Talamanca, 2021. "Detecting bubbles in Bitcoin price dynamics via market exuberance," Annals of Operations Research, Springer, vol. 299(1), pages 459-479, April.
• David Volkmann, 2021. "Explaining S&P500 option returns: an implied risk-adjusted approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 665-685, June.
• Vikram Ojha & JeongHoe Lee, 2021. "Default analysis in mortgage risk with conventional and deep machine learning focusing on 2008–2009," Digital Finance, Springer, vol. 3(3), pages 249-271, December.
• Alain Kabundi & Asithandile Mbelu, 2021. "Estimating a time-varying financial conditions index for South Africa," Empirical Economics, Springer, vol. 60(4), pages 1817-1844, April.
  • Alain Kabundi & Asi Mbelu, 2017. "Estimating a timevarying financial conditions index for South Africa," Working Papers 8008, South African Reserve Bank.
• Nima Nonejad, 2021. "Using the conditional volatility channel to improve the accuracy of aggregate equity return predictions," Empirical Economics, Springer, vol. 61(2), pages 973-1009, August.
• Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
• Serdar Neslihanoglu & Stelios Bekiros & John McColl & Duncan Lee, 2021. "Multivariate time-varying parameter modelling for stock markets," Empirical Economics, Springer, vol. 61(2), pages 947-972, August.
• Ahmet Akca & Ethem Çanakoğlu, 2021. "Adaptive stochastic risk estimation of firm operating profit," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(3), pages 463-504, September.
• Helder Sebastião & Pedro Godinho, 2021. "Forecasting and trading cryptocurrencies with machine learning under changing market conditions," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-30, December.
• David Y. Aharon & Zaghum Umar & Xuan Vinh Vo, 2021. "Dynamic spillovers between the term structure of interest rates, bitcoin, and safe-haven currencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
• Darko B. Vukovic & Carlos J. Rincon & Moinak Maiti, 2021. "Price distortions and municipal bonds premiums: evidence from Switzerland," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-21, December.
• Melisa Ozdamar & Levent Akdeniz & Ahmet Sensoy, 2021. "Lottery-like preferences and the MAX effect in the cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
• Rama K. Malladi & Prakash L. Dheeriya, 2021. "Time series analysis of Cryptocurrency returns and volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(1), pages 75-94, January.
• Jose I. Alvarado & Lindsay C. Clark & Jose A. Gutierrez, 2021. "Stock performance subsequent to combinations in quarterly revenue surprise, earnings surprise, guidance, valuation, and report time," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(1), pages 95-117, January.
• Yuanyuan (Catherine) Chen, 2021. "Empirical analysis of bitcoin price," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(4), pages 692-715, October.

2020

• Stefano Zedda & Simone Sbaraglia, 2020. "Which interbank net is the safest?," Risk Management, Palgrave Macmillan, vol. 22(1), pages 65-82, March.
• Andrés Berenguer & Luis Gandarias & Álvaro Arévalo, 2020. "Singular spectrum analysis for modelling the hard-to-model risk factors," Risk Management, Palgrave Macmillan, vol. 22(3), pages 178-191, September.
• Michael Hanias & Stefanos Tsakonas & Lykourgos Magafas & Eleftherios I. Thalassinos & Loukas Zachilas, 2020. "Deterministic chaos and forecasting in Amazon’s share prices," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 15(2), pages 253-273, June.
• Grilli, Luca & Santoro, Domenico, 2020. "How Boltzmann Entropy Improves Prediction with LSTM," MPRA Paper 100578, University Library of Munich, Germany.
• Grilli, Luca & Santoro, Domenico, 2020. "Dualism in Bitcoin Dynamics: existence of an Upper Bound in Poincaré Recurrence Theorem for Deterministic vs Stochastic Behavior," MPRA Paper 101057, University Library of Munich, Germany.
• Rashid, Muhammad Mustafa, 2020. "The Greek Letters. Scenario Analysis with a Reverse Butterfly Spread," MPRA Paper 101723, University Library of Munich, Germany, revised 19 May 2020.
• Fantazzini, Dean, 2020. "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 33-54.
  • Fantazzini, Dean, 2020. "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," MPRA Paper 102315, University Library of Munich, Germany.
• Fantazzini, Dean, 2020. "Discussing copulas with Sergey Aivazian: a memoir," MPRA Paper 102317, University Library of Munich, Germany.
• Victor Olkhov, 2020. "Volatility Depend on Market Trades and Macro Theory," Papers 2008.07907, arXiv.org.
  • Olkhov, Victor, 2020. "Volatility Depend on Market Trades and Macro Theory," MPRA Paper 102434, University Library of Munich, Germany.
• Yardley, Ben, 2020. "The Effects of Donald Trump’s Tweets on The Stock Exchange," MPRA Paper 102578, University Library of Munich, Germany.
• Dean Fantazzini & Nikita Kolodin, 2020. "Does the Hashrate Affect the Bitcoin Price?," JRFM, MDPI, vol. 13(11), pages 1-29, October.
  • Fantazzini, Dean & Kolodin, Nikita, 2020. "Does the hashrate affect the bitcoin price?," MPRA Paper 103812, University Library of Munich, Germany.
• Sinha, Pankaj & Sawaliya, Priya & Sinha, Prateek, 2020. "Surviving Coronavirus scare: A journey of stock market amid a slowdown in Indian Economy," MPRA Paper 103902, University Library of Munich, Germany, revised 20 Jun 2020.
• Maheu, John M. & McCurdy, Thomas H. & Song, Yong, 2021. "Bull and bear markets during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 42(C).
  • John M. Maheu & Thomas H. McCurdy & Yong Song, 2020. "Bull and Bear Markets During the COVID-19 Pandemic," Papers 2012.01623, arXiv.org.
  • Maheu, John M & McCurdy, Thomas H & Song, Yong, 2020. "Bull and Bear Markets During the COVID-19 Pandemic," MPRA Paper 104504, University Library of Munich, Germany.
• Pincheira, Pablo & Hardy, Nicolas, 2020. "The Mean Squared Prediction Error Paradox: A summary," MPRA Paper 105020, University Library of Munich, Germany.
• Pincheira, Pablo & Jarsun, Nabil, 2020. "Summary of the Paper Entitled: Forecasting Fuel Prices with the Chilean Exchange Rate," MPRA Paper 105056, University Library of Munich, Germany.
• Olkhov, Victor, 2020. "Classical Option Pricing and Some Steps Further," MPRA Paper 99918, University Library of Munich, Germany.
  • Olkhov, Victor, 2020. "Classical Option Pricing and Some Steps Further," MPRA Paper 105431, University Library of Munich, Germany, revised 28 Dec 2020.
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• William Sucuahi & Eugene Bije, 2020. "Modeling Long-Term Relationships in Philippine Stock Market (PSE) Indices: A Cointegration Analysis," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(9), pages 989-998, September.
• Muhammad Uzair Ali & Nawaz Ahmad, 2020. "Selected Macro-Economic Variables and Financial Leverages Impact on Performance Indicators of Quoted Chemical Firms in PSX," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 10(1), pages 80-89, June.
• César Omar López à vila & Norma Pontet Ubal, 2020. "Complementary break-even point with economic value added," Documentos de Investigación 128, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.
• Guidolin, Massimo & Pedio, Manuela, 2021. "Media Attention vs. Sentiment as Drivers of Conditional Volatility Predictions: An Application to Brexit," Finance Research Letters, Elsevier, vol. 42(C).
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• Massimo Guidolin & Alexei Orlov, 2020. "Are Unconventional Monetary Policies a Priced Risk Factor for Hedge Fund Strategies?," BAFFI CAREFIN Working Papers 20146, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
• Nataliya Vnukova & Sergii Kavun & Oleh Kolodiziev & Svitlana Achkasova & Daria Hontar, 2020. "Indicators-Markers for Assessment of Probability of Insurance Companies Relatedness in Implementation of Risk-Oriented Approach," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 151-173.
• Alejandro García & Bena Lands & Xuezhi Liu & Joshua Slive, 2020. "The potential effect of a central bank digital currency on deposit funding in Canada," Staff Analytical Notes 2020-15, Bank of Canada.
• Andrés Alonso & José Manuel Carbó, 2020. "Machine learning in credit risk: measuring the dilemma between prediction and supervisory cost," Working Papers 2032, Banco de España.
• Oleg N. Salmanov & Natalia V. Babina & Marina V. Samoshkina & Irina P. Drachena & Irina P. Salmanova, 2020. "The Effects Of Volatility And Changes In Conditional Correlations In The Stock Markets Of Russia And Developed Countries," Economic Annals, Faculty of Economics, University of Belgrade, vol. 65(227), pages 67-94, October –.
• Salim Sercan SARI & Þule Yüksel YÝÐÝTER, 2020. "Borsa Istanbul Hisse Senedi Getirilerinin ANFIS Aracýlýðýyla Tahmin Edilmesi," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 4(1), pages 171-193, August.
• Ingo Fender & Mike McMorrow & Vahe Sahakyan & Omar Zulaica, 2020. "Reserve management and sustainability: the case for green bonds?," BIS Working Papers 849, Bank for International Settlements.
• Omar Zulaica, 2020. "What share for gold? On the interaction of gold and foreign exchange reserve returns," BIS Working Papers 906, Bank for International Settlements.
• Juselius, Mikael & Tarashev, Nikola, 2020. "Forecasting expected and unexpected losses," Research Discussion Papers 18/2020, Bank of Finland.
  • Mikael Juselius & Nikola Tarashev, 2020. "Forecasting expected and unexpected losses," BIS Working Papers 913, Bank for International Settlements.
• Kresta Aleš & Wang Anlan, 2020. "Portfolio Optimization Efficiency Test Considering Data Snooping Bias," Business Systems Research, Sciendo, vol. 11(2), pages 73-85, October.
• Ramis Khabibullin & Alexey Ponomarenko, 2022. "An empirical behavioral model of household’s deposit dollarization," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(3), pages 827-847, July.
  • Ramis Khabibullin & Alexey Ponomarenko, 2020. "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series wps67, Bank of Russia.
• Barón, Andrea & Landaberry, María Victoria & Lluberas, Rodrigo & Ponce, Jorge, 2021. "Commercial and banking credit network in Uruguay," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
  • Andrea Barón & María Victoria Landaberry & Rodrigo Lluberas & Jorge Ponce, 2020. "Commercial and banking credit network in Uruguay," Documentos de trabajo 2020006, Banco Central del Uruguay.
• Farmer, J. Doyne & Kleinnijenhuis, Alissa & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," INET Oxford Working Papers 2020-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
  • Farmer, J Doyne & Kleinnijenhuis, Alissa M & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," Bank of England working papers 861, Bank of England.
• Jurkatis, Simon, 2020. "Inferring trade directions in fast markets," Bank of England working papers 896, Bank of England.
• Faria, Gonçalo & Verona, Fabio, 2020. "Frequency-domain information for active portfolio management," Research Discussion Papers 2/2020, Bank of Finland.
• Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
  • Faria, Gonçalo & Verona, Fabio, 2020. "Time-frequency forecast of the equity premium," Research Discussion Papers 6/2020, Bank of Finland.
• Mikael Juselius & Nikola Tarashev, 2020. "Forecasting expected and unexpected losses," BIS Working Papers 913, Bank for International Settlements.
  • Juselius, Mikael & Tarashev, Nikola, 2020. "Forecasting expected and unexpected losses," Research Discussion Papers 18/2020, Bank of Finland.
• Hyeongwoo Kim & Soohyon Kim, 2020. "Common Factor Augmented Forecasting Models for the US Dollar-Korean Won Exchange Rate," Working Papers 2020-5, Economic Research Institute, Bank of Korea.
• Avdoulas Christos & Bekiros Stelios & Lucey Brian, 2020. "The term structure of Eurozone peripheral bond yields: an asymmetric regime-switching equilibrium correction approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-23, September.
• Zhu Fumin & Bianchi Michele Leonardo & Kim Young Shin & Fabozzi Frank J. & Wu Hengyu, 2020. "Learning for infinitely divisible GARCH models in option pricing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(3), pages 35-62, June.
• Rice, Jonathan, 2020. "Economic Policy Uncertainty in Small Open Economies: a Case Study in Ireland," Research Technical Papers 01/RT/20, Central Bank of Ireland.
• Bikramaditya Ghosh & Krishna MC, 2020. "Econophysical bourse volatility – Global Evidence," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(2), pages 87-107.
• Ron Gecan, 2020. "CBO's Oil Price Forecasting Record: Working Paper 2020-03," Working Papers 56356, Congressional Budget Office.
• Roberto Marfè & Julien Pénasse, 2020. "Measuring Macroeconomic Tail Risk," Carlo Alberto Notebooks 621, Collegio Carlo Alberto.
• Daniele Bianchi & Mykola Babiak, 2020. "On the Performance of Cryptocurrency Funds," CERGE-EI Working Papers wp672, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
• Mykola Babiak & Jozef Barunik, 2020. "Deep Learning, Predictability, and Optimal Portfolio Returns," Papers 2009.03394, arXiv.org, revised Jul 2021.
  • Mykola Babiak & Jozef Barunik, 2020. "Deep Learning, Predictability, and Optimal Portfolio Returns," CERGE-EI Working Papers wp677, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
• Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2021. "The frequency of one-day abnormal returns and price fluctuations in the forex," Journal of Applied Economics, Taylor & Francis Journals, vol. 24(1), pages 401-415, January.
  • Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2020. "The Frequency of One-Day Abnormal Returns and Price Fluctuations in the FOREX," CESifo Working Paper Series 8196, CESifo.
• Guglielmo Maria Caporale & Alex Plastun, 2021. "Gold and oil prices: abnormal returns, momentum and contrarian effects," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 353-368, September.
  • Guglielmo Maria Caporale & Alex Plastun, 2020. "Gold and Oil Prices: Abnormal Returns, Momentum and Contrarian Effects," CESifo Working Paper Series 8445, CESifo.
• Guglielmo Maria Caporale & Alex Plastun, 2020. "Abnormal Returns and Stock Price Movements: Some Evidence from Developed and Emerging Markets," CESifo Working Paper Series 8783, CESifo.
• Oksana Bashchenko & Alexis Marchal, 2020. "Deep Learning, Jumps, and Volatility Bursts," Swiss Finance Institute Research Paper Series 20-10, Swiss Finance Institute.
• Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2020. "Does Big Data Improve Financial Forecasting? The Horizon Effect," Working Papers hal-03031876, HAL.
  • Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2020. "Does Big Data Improve Financial Forecasting? The Horizon Effect," Swiss Finance Institute Research Paper Series 20-106, Swiss Finance Institute.
• Walter Distaso & Antonio Mele & Grigory Vilkov, 2020. "Cross-Section Without Factors: Correlation Risk, Strings and Asset Prices," Swiss Finance Institute Research Paper Series 20-119, Swiss Finance Institute.
• Rebecca Westphal & Didier Sornette, 2020. "How market intervention can prevent bubbles and crashes," Swiss Finance Institute Research Paper Series 20-74, Swiss Finance Institute.
• Jillian Grennan & Roni Michaely, 2020. "Artificial Intelligence and High-Skilled Work: Evidence from Analysts," Swiss Finance Institute Research Paper Series 20-84, Swiss Finance Institute.
• J-C Gerlach & Jerome L Kreuser & Didier Sornette, 2020. "Crash-sensitive Kelly Strategy built on a modified Kreuser-Sornette bubble model tested over three decades of twenty equity indices," Swiss Finance Institute Research Paper Series 20-85, Swiss Finance Institute.
• Walter Farkas & Fulvia Fringuellotti & Radu Tunaru, 2020. "A Cost-Benefit Analysis of Capital Requirements Adjusted for Model Risk," Swiss Finance Institute Research Paper Series 20-86, Swiss Finance Institute.
• Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers halshs-02893291, HAL.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 20-27, Chapman University, Economic Science Institute.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 2020, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
• Yuri Biondi & Simone Righi, 2020. "Much ado about making money: the impact of disclosure, news and rumors on the formation of security market prices over time," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 333-362, April.
• Thomas Hauner, 2020. "Aggregate wealth and its distribution as determinants of financial crises," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(3), pages 319-338, September.
• Laura Casula & Guglielmo D’Amico & Giovanni Masala & Filippo Petroni, 2020. "Performance estimation of photovoltaic energy production," Letters in Spatial and Resource Sciences, Springer, vol. 13(3), pages 267-285, December.
• Justyna Mokrzycka, 2020. "VaR and ES Calculation with a Bayesian Dynamic tCopula-GARCH Model," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Cross-Section Data Methods in Applied Economic Research, chapter 46, pages 685-703, Springer.
• Hsien-Ming Chou & Tsai-Lun Cho, 2020. "Effects of Slope Coefficients and Bollinger Bands on Short-term Investment," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 10(2), pages 1-7.
• Chuo Chang, 2020. "Dynamic correlations and distributions of stock returns on China's stock markets," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(1), pages 1-6.
• Keqi Chen, 2020. "A Closer Look at Analyst Expectations: Stickiness and Confirmation Bias," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(5), pages 1-15.
• Markus Spiwoks & Zulia Gubaydullina, 2020. "The Magic of Figures: Anchoring and Interferences," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 9(3), pages 1-2.
• Fernando García & Jairo González-Bueno & Francisco Guijarro & Javier Oliver, 2020. "A multiobjective credibilistic portfolio selection model. Empirical study in the Latin American integrated market," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 1027-1046, December.
• Zbyslaw Dobrowolski, 2020. "After COVID-19. Reorientation of crisis management in crisis," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 799-810, December.
• Jaroslav Baran & Jan Voříšek, 2020. "Volatility indices and implied uncertainty measures of European government bond futures," Working Papers 43, European Stability Mechanism.
• Hossein Hassani & Mohammad Reza Yeganegi & Juncal Cuñado & Rangan Gupta, 2020. "Forecasting interest rate volatility of the United Kingdom: evidence from over 150 years of data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(6), pages 1128-1143, April.
  • Hossein Hassani & Mohammad Reza Yeganegi & Juncal Cunado & Rangan Gupta, 2018. "Forecasting Interest Rate Volatility of the United Kingdom: Evidence from over 150 Years of Data," Working Papers 201873, University of Pretoria, Department of Economics.
• Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2020. "The Pricing of Tail Risk and the Equity Premium: Evidence From International Option Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 662-678, July.
  • Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2018. "The Pricing of Tail Risk and the Equity Premium: Evidence from International Option Markets," CREATES Research Papers 2018-02, Department of Economics and Business Economics, Aarhus University.
• Luiz Félix & Roman Kräussl & Philip Stork, 2020. "Implied volatility sentiment: a tale of two tails," Quantitative Finance, Taylor & Francis Journals, vol. 20(5), pages 823-849, May.
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  • Philip Stork & Luiz Felix & Roman Kraussl, 2017. "Implied Volatility Sentiment: A Tale of Two Tails," Tinbergen Institute Discussion Papers 17-002/IV, Tinbergen Institute, revised 26 Jan 2018.
• Catherine Georgiou, 2020. "The British Stock Market under the Structure of Market Capitalization Value: New Evidence on its Predictive Content," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 13(3), pages 56-69, December.
• Felix Haase & Matthias Neuenkirch, 2020. "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," Research Papers in Economics 2020-01, University of Trier, Department of Economics.
  • Felix Haase & Matthias Neuenkirch, 2021. "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," CESifo Working Paper Series 8828, CESifo.
  • Felix Haase & Matthias Neuenkirch, 2020. "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," Working Paper Series 2020-03, University of Trier, Research Group Quantitative Finance and Risk Analysis.
• Dennis Umlandt, 2020. "Likelihood-based Dynamic Asset Pricing: Learning Time-varying Risk Premia from Cross-Sectional Models," Working Paper Series 2020-06, University of Trier, Research Group Quantitative Finance and Risk Analysis.
• Felix Haase & Matthias Neuenkirch, 2020. "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," Working Paper Series 2020-03, University of Trier, Research Group Quantitative Finance and Risk Analysis.
  • Felix Haase & Matthias Neuenkirch, 2021. "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," CESifo Working Paper Series 8828, CESifo.
  • Felix Haase & Matthias Neuenkirch, 2020. "Predictability of Bull and Bear Markets: A New Look at Forecasting Stock Market Regimes (and Returns) in the US," Research Papers in Economics 2020-01, University of Trier, Department of Economics.
• Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Papers 2011.00435, arXiv.org, revised Apr 2021.
  • Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202025, University of California at Riverside, Department of Economics.
• Dominique Pépin & Stephen M. Miller, 2020. "The Time-Varying Nature of Risk Aversion: Evidence from 60 Years of U.S. Stock Market Data," Working papers 2020-09, University of Connecticut, Department of Economics.
• Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2020. "Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting," Working Papers 202056, University of Pretoria, Department of Economics.
  • Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2020. "Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting," Working papers 2020-10, University of Connecticut, Department of Economics.
• Ilya V. Naumov, 2020. "A scenario-based model of the reproduction of institutional sectors’ investment potential in Sverdlovsk oblast," Upravlenets, Ural State University of Economics, vol. 11(5), pages 17-28, November.
• Elena Stavrova & Mariya Paskaleva & Ani Stoykova, 2020. "Empirical Analysis Of “Black Swan Effect”: Evidence Of China," Economic Science, education and the real economy: Development and interactions in the digital age, Publishing house Science and Economics Varna, issue 1, pages 129-146.
• Hristina Vasileva, 2020. "Application Of Logistic Regressionin Assessing The Credit Risk Of Smes," Economic Science, education and the real economy: Development and interactions in the digital age, Publishing house Science and Economics Varna, issue 1, pages 334-345.
• Georgi Hristov, 2020. "“Risk Premium” Or “Sentiment Premium”," Economic Science, education and the real economy: Development and interactions in the digital age, Publishing house Science and Economics Varna, issue 1, pages 494-506.
• Jerić Silvija Vlah, 2020. "Comparing classification algorithms for prediction on CROBEX data," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(2), pages 4-11, December.
• Jerić Silvija Vlah, 2020. "Comparing classification algorithms for prediction on CROBEX data," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(2), pages 4-11, December.
• Homa Magdalena, 2020. "Mathematical Reserves vs Longevity Risk in Life Insurances," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 24(1), pages 23-38, March.
• Latoszek Michał & Ślepaczuk Robert, 2020. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Economics and Business Review, Sciendo, vol. 6(1), pages 46-81, March.
  • Michał Latoszek & Robert Ślepaczuk, 2019. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Working Papers 2019-14, Faculty of Economic Sciences, University of Warsaw.
• Kozioł Karolina & Pitera Rafał, 2020. "An Assessment of the Reliability of Discriminatory Models on the Basis of the Bankruptcy of Comapanies in the Food Industry in Poland," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 221-231, June.
• Krupa Tadeusz, 2020. "Virtual Center for the Paradigmatic Studies," Foundations of Management, Sciendo, vol. 12(1), pages 181-192, January.
• Krupa Tadeusz, 2020. "Virtual Center for the Paradigmatic Studies," Foundations of Management, Sciendo, vol. 12(1), pages 181-192, January.
• Wolski Rafal, 2020. "Co-Integration Test of Selected Indexes on the Share Market and Index of Housing Real Estate Prices," Real Estate Management and Valuation, Sciendo, vol. 28(1), pages 100-111, March.
• Oleh Bilyk & Paweł Sakowski & Robert Ślepaczuk, 2020. "Investing in VIX futures based on rolling GARCH models forecasts," Working Papers 2020-10, Faculty of Economic Sciences, University of Warsaw.
• Paweł Sakowski & Anna Turovtseva, 2020. "Verification of Investment Opportunities on the Cryptocurrency Market within the Markowitz Framework," Working Papers 2020-41, Faculty of Economic Sciences, University of Warsaw.
• Paweł Sakowski & Daria Turovtseva, 2020. "Does Bitcoin Improve Investment Portfolio Efficiency?," Working Papers 2020-42, Faculty of Economic Sciences, University of Warsaw.
• Joscha Beckmann & Gary Koop & Dimitris Korobilis & Rainer Alexander Schüssler, 2020. "Exchange rate predictability and dynamic Bayesian learning," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 410-421, June.
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• Duc Khuong Nguyen & Thomas Walther, 2020. "Modeling and forecasting commodity market volatility with long‐term economic and financial variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 126-142, March.
  • Nguyen, Duc Khuong & Walther, Thomas, 2017. "Modeling and forecasting commodity market volatility with long-term economic and financial variables," MPRA Paper 84464, University Library of Munich, Germany, revised Jan 2018.
  • Thomas Walther & Duc Khuong Nguyen, 2018. "Modeling and Forecasting Commodity Market Volatility with Long-term Economic and Financial Variables," Working Papers on Finance 1824, University of St. Gallen, School of Finance.
• Andrea Bucci, 2020. "Cholesky–ANN models for predicting multivariate realized volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 865-876, September.
  • Bucci, Andrea, 2019. "Cholesky-ANN models for predicting multivariate realized volatility," MPRA Paper 95137, University Library of Munich, Germany.
• John B Guerard & William T Ziemba (ed.), 2020. "Handbook of Applied Investment Research," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 11727, October.
• George Xianzhi Yuan (ed.), 2020. "The CME Vulnerability:The Impact of Negative Oil Futures Trading," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 11908, October.
• John B. Guerard Jr. & William T. Ziemba, 2020. "Introduction," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 1, pages xxix-lii, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "The Five Investor Camps that Try to Beat the Stock Market," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 2, pages 3-16, World Scientific Publishing Co. Pte. Ltd..
• M. Bloch & J. Guerard & H. Markowitz & P. Todd & G. Xu, 2020. "A comparison of some aspects of the U.S. and Japanese equity markets," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 3, pages 17-40, World Scientific Publishing Co. Pte. Ltd..
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• Leonard C. MacLean & Michael E. Foster & William T. Ziemba, 2020. "Covariance complexity and rates of return on assets," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 4, pages 41-61, World Scientific Publishing Co. Pte. Ltd..
• J. B. Guerard Jr. & H. Markowitz & G. Xu, 2020. "The role of effective corporate decisions in the creation of efficient portfolios," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 5, pages 63-73, World Scientific Publishing Co. Pte. Ltd..
• John B. Guerard Jr. & Harry Markowitza & GanLin Xu, 2020. "Earnings forecasting in a global stock selection model and efficient portfolio construction and management," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 6, pages 75-85, World Scientific Publishing Co. Pte. Ltd..
• Bijan Beheshti & John B. Guerard Jr. & Chris Mercs, 2020. "Truly Active Management Requires a Commitment to Excellence: Portfolio Construction and Management with FactSet," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 7, pages 87-126, World Scientific Publishing Co. Pte. Ltd..
• Brian Bruce & Douglas Stark, 2020. "The Hillcrest Management Sentiment Indicator," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 8, pages 127-140, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "Seasonality Effects In Japanese Futures Markets," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 9, pages 143-171, World Scientific Publishing Co. Pte. Ltd..
• Constantine Dzhabarov & William T. Ziemba, 2020. "Sell-in-May-and-Go-Away in the U.S. Equity Index Futures Markets, 1993–2019," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 10, pages 173-186, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "Japanese security market regularities: Monthly, turn-of-the-month and year, holiday and golden week effects," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 11, pages 187-214, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "World wide security market regularities," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 12, pages 215-246, World Scientific Publishing Co. Pte. Ltd..
• Constantine Dzhabarov & Alexandre Ziegler & William T. Ziemba, 2020. "Sell-in-May-and-Go-Away: The International Evidence," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 13, pages 247-280, World Scientific Publishing Co. Pte. Ltd..
• Blair Hull & Petra Bakosova & Alexander Kment, 2020. "Seasonal Effects, Trends and Pre-Announcement Drifts: Turning Anomalies into Investment Strategies," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 14, pages 281-321, World Scientific Publishing Co. Pte. Ltd..
• Sebastien Lleo & William T Ziemba, 2020. "Stock Market Crashes in 2006–2009: Were We Able to Predict Them?," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 15, pages 323-353, World Scientific Publishing Co. Pte. Ltd..
• J. B. Guerard Jr. & S. T. Rachev & B. P. Shao, 2020. "Efficient global portfolios: Big data and investment universes," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 16, pages 357-367, World Scientific Publishing Co. Pte. Ltd..
• Harry M. Markowitz & David Starer & Harvey Fram & Sander Gerber, 2020. "Avoiding the Downside: A Practical Review of the Critical Line Algorithm for Mean–Semivariance Portfolio Optimization," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 17, pages 369-415, World Scientific Publishing Co. Pte. Ltd..
• Chong Li & Edward Tower & Rhona Zhang, 2020. "Alternative Measures of Mutual Fund Performance: Ranking DFA, Fidelity, and Vanguard," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 18, pages 417-476, World Scientific Publishing Co. Pte. Ltd..
• Boryana Racheva-Iotova, 2020. "Wealth Management Next Frontiers — The Inevitable Need to Meet Behavioral and Quantitative Approaches," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 19, pages 479-509, World Scientific Publishing Co. Pte. Ltd..
• Foteini Kyriazi & Dimitrios D. Thomakos, 2020. "Foreign Exchange Rate Predictability: Seek and Ye Shall Find It," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 20, pages 511-556, World Scientific Publishing Co. Pte. Ltd..
• Tim Leung & Brian Ward, 2020. "Tracking VIX with VIX Futures: Portfolio Construction and Performance," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 21, pages 557-596, World Scientific Publishing Co. Pte. Ltd..
  • Tim Leung & Brian Ward, 2019. "Tracking VIX with VIX Futures: Portfolio Construction and Performance," Papers 1907.00293, arXiv.org.
• Barret Pengyuan Shao, 2020. "Long-Memory Processes in High-Frequency Foreign Exchange and U.S. Equity Market," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 22, pages 597-620, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba, 2020. "Arbitrage and Risk Arbitrage in the Nikkei Put Warrant Market," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 23, pages 621-633, World Scientific Publishing Co. Pte. Ltd..
• William T. Ziemba & S. Lleo & M. Zhitlukhin, 2020. "A Stopping Rule Model for Exiting Bubble-like Markets with Applications," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 24, pages 635-659, World Scientific Publishing Co. Pte. Ltd..
• H. D. Vinod, 2020. "Econometric Tools for Stress Testing Using Time Heterogeneity and Maximum Entropy," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 25, pages 661-690, World Scientific Publishing Co. Pte. Ltd..
• H. D. Vinod & John B. Guerard Jr., 2020. "Causality Studies of Real GDP, Unemployment, and Leading Indicators," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 26, pages 691-724, World Scientific Publishing Co. Pte. Ltd..
• Robert A. Gillam & Russell Read, 2020. "Investing on the “Far Side of the Moon”: Capturing Capital Market Inclusion Opportunity across MEASA (Middle East–Africa–South Asia)," World Scientific Book Chapters, in: John B Guerard & William T Ziemba (ed.), HANDBOOK OF APPLIED INVESTMENT RESEARCH, chapter 27, pages 725-741, World Scientific Publishing Co. Pte. Ltd..
• Chern Lu, 2020. "The Overview of WTI Crude Oil Futures’ Epic Fall," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 1, pages 3-49, World Scientific Publishing Co. Pte. Ltd..
• Rongbing Huang & George Yuan, 2020. "The Better Way for CME’s Execution: Based on the Perspective of Industry’s Best Practice Rule," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 2, pages 51-67, World Scientific Publishing Co. Pte. Ltd..
• James Zhan, 2020. "Impact of Negative Oil Price on Risk Measuring," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 3, pages 69-83, World Scientific Publishing Co. Pte. Ltd..
• Duoqi Xu & Peiran Wang & Yicheng Wang, 2020. "Three Legal Reflections on the “Crude Oil Treasure” Incident: Starting with the CME Rule Change," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 4, pages 85-101, World Scientific Publishing Co. Pte. Ltd..
• Chenghu Ma & Xianzhen Wang, 2020. "Why Oil Prices Plunged and Settled Negative: A Game-Theoretical Perspective," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 5, pages 105-130, World Scientific Publishing Co. Pte. Ltd..
• Cong Sui & Mo Yang, 2020. "Tanker Shipping and Negative Oil Prices: More Than Just the Freight Rates," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 6, pages 131-146, World Scientific Publishing Co. Pte. Ltd..
• Henry Yang, 2020. "Option Pricing with Shifted Lognormal Model for Negative Oil Prices," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 7, pages 147-153, World Scientific Publishing Co. Pte. Ltd..
• Bin Zhu, 2020. "The Paradox of Negative Oil Prices," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 8, pages 155-162, World Scientific Publishing Co. Pte. Ltd..
• Michael Peng, 2020. "The Challenges of Negative Oil Future Price Posed to Risk Managers and Quants," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 9, pages 165-195, World Scientific Publishing Co. Pte. Ltd..
• Weiping Li, 2020. "Negative Asset Pricing and Moral Hazard," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 10, pages 197-214, World Scientific Publishing Co. Pte. Ltd..
• You Zhang & Lingtong (Stanley) Meng, 2020. "The Bachelier Model: Option Pricing with Negative Strike and Asset Price," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 11, pages 215-222, World Scientific Publishing Co. Pte. Ltd..
• Yali Chang & Jianwu Lin & Chengying He, 2020. "Blockchain-based Options for Physical Settlement of Commodity Futures," World Scientific Book Chapters, in: George Xianzhi Yuan (ed.), The CME Vulnerability The Impact of Negative Oil Futures Trading, chapter 12, pages 223-251, World Scientific Publishing Co. Pte. Ltd..
• Jager, Maximilian & Siemsen, Thomas & Vilsmeier, Johannes, 2020. "Interbank risk assessment: A simulation approach," Discussion Papers 23/2020, Deutsche Bundesbank.
• Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
  • Hartwig, Benny & Meinerding, Christoph & Schüler, Yves, 2020. "Identifying indicators of systemic risk," Discussion Papers 33/2020, Deutsche Bundesbank.
• Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Discussion Papers 46/2020, Deutsche Bundesbank.
• Lux, Thomas, 2020. "Can heterogeneous agent models explain the alleged mispricing of the S&P 500?," Economics Working Papers 2020-03, Christian-Albrechts-University of Kiel, Department of Economics.
• Ruenzi, Stefan & Ungeheuer, Michael & Weigert, Florian, 2020. "Joint Extreme events in equity returns and liquidity and their cross-sectional pricing implications," Journal of Banking & Finance, Elsevier, vol. 115(C).
  • Ruenzi, Stefan & Ungeheuer, Michael & Weigert, Florian, 2020. "Joint extreme events in equity returns and liquidity and their cross-sectional pricing implications," CFR Working Papers 20-01, University of Cologne, Centre for Financial Research (CFR).
• Hendriock, Mario, 2020. "Implied cost of capital and mutual fund performance," CFR Working Papers 20-11, University of Cologne, Centre for Financial Research (CFR).
• Chao, Shih-Kang & Härdle, Wolfgang K. & Yuan, Ming, 2021. "Factorisable Multitask Quantile Regression," Econometric Theory, Cambridge University Press, vol. 37(4), pages 794-816, August.
  • Shih-Kang Chao & Wolfgang K. Härdle & Ming Yuan, 2016. "Factorisable Multi-Task Quantile Regression," SFB 649 Discussion Papers SFB649DP2016-057, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Chao, Shih-Kang & Härdle, Wolfgang Karl & Yuan, Ming, 2020. "Factorisable Multitask Quantile Regression," IRTG 1792 Discussion Papers 2020-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Xu, Xiu & Wang, Weining & Shin, Yongcheol, 2020. "Dynamic Spatial Network Quantile Autoregression," IRTG 1792 Discussion Papers 2020-024, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Demary, Markus & Hasenclever, Stefan, 2020. "IW Financial Expert Survey: Second Quarter 2020," IW-Reports 27/2020, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
• Reh, Laura & Krüger, Fabian & Liesenfeld, Roman, 2020. "Predicting the global minimum variance portfolio," Working Paper Series in Economics 141, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
• Grammig, Joachim & Hanenberg, Constantin & Schlag, Christian & Sönksen, Jantje, 2020. "Diverging roads: Theory-based vs. machine learning-implied stock risk premia," University of Tübingen Working Papers in Business and Economics 130, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
• Beckmann, Joscha & Czudaj, Robert L., 2020. "Fundamental determinants of exchange rate expectations," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224617, Verein für Socialpolitik / German Economic Association.
  • Joscha Beckmann & Robert L. Czudaj, 2022. "Fundamental determinants of exchange rate expectations," Chemnitz Economic Papers 056, Department of Economics, Chemnitz University of Technology, revised Mar 2022.
• Berislav Žmuk & Hrvoje Jošiæ, 2020. "Forecasting stock market indices using machine learning algorithms," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 18(4), pages 471-489.
• Wojciech Lichota, 2020. "The comparative analysis of the prediction effectiveness of selected discriminant analysis models," Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie / The Malopolska School of Economics in Tarnow Research Papers Collection, Malopolska School of Economics in Tarnow, vol. 48(4), pages 27-36, December.
• Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020. "Short-Term Exuberance and long-term stability: A simultaneous optimization of stock return predictions for short and long horizons," Graz Economics Papers 2020-20, University of Graz, Department of Economics.
• Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2020. "A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage," Economic Modelling, Elsevier, vol. 85(C), pages 57-73.
  • Nikola Gradojevic & Deniz Erdemlioglu & Ramazan Gençay, 2020. "A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage," Post-Print hal-02512423, HAL.
• Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2020. "Does Big Data Improve Financial Forecasting? The Horizon Effect," Swiss Finance Institute Research Paper Series 20-106, Swiss Finance Institute.
  • Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2020. "Does Big Data Improve Financial Forecasting? The Horizon Effect," Working Papers hal-03031876, HAL.
• Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 20-27, Chapman University, Economic Science Institute.
  • Brice Corgnet & Cary Deck & Mark Desantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers halshs-02893291, HAL.
  • Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 2020, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
• Tamás Kiss & Hoang Nguyen & Pär Österholm, 2021. "Modelling Returns in US Housing Prices—You’re the One for Me, Fat Tails," JRFM, MDPI, vol. 14(11), pages 1-17, October.
  • Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2020. "Modelling Returns in US Housing Prices – You’re the One for Me, Fat Tails," Working Papers 2020:13, Örebro University, School of Business.
• Alfelt, Gustav & Bodnar, Taras & Javed, Farrukh & Tyrcha, Joanna, 2020. "Singular conditional autoregressive Wishart model for realized covariance matrices," Working Papers 2021:1, Örebro University, School of Business.
• Lundström, Christian, 2020. "On the Profitability of Momentum Strategies and Optimal Leverage Rules," Umeå Economic Studies 974, Umeå University, Department of Economics.
• Tatyana Erofeeva, 2020. "Assessment of the Functional Relationship between the Yield Spread and the Default Spread," HSE Economic Journal, National Research University Higher School of Economics, vol. 24(1), pages 28-52.
• Donatello Caruso & Tetiana Lunkina & Alla Burkovska & Anna Burkovska, 2020. "Assessment of the Influence of the National Bank of Ukraine Monetary Policy on Food Security of the State," Oblik i finansi, Institute of Accounting and Finance, issue 4, pages 45-51, December.
• H. W. Wayne Yang & Po-Wei Shen & An-Sing Chen, 2020. "Trimming Effects And Momentum Investing," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 14(2), pages 73-87.
• Deepa Bannigidadmath, 2020. "Consumer Sentiment And Indonesia'S Stock Returns," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(Special I), pages 1-14, January.
• Toshiaki Ogawa & Masato Ubukata & Toshiaki Watanabe, 2020. "Stock Return Predictability and Variance Risk Premia around the ZLB," IMES Discussion Paper Series 20-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
• Roberto Gallardo Del Ángel, 2020. "Financial time series forecasting using Artificial Neural Networks," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 15(1), pages 105-122, Enero - M.
• Rey Francisco Ayala Castrejon & Christian Bucio Pacheco, 2020. "Modelo ARIMA aplicado al tipo de cambio peso-dólar en el periodo 2016-2017 mediante ventanas temporales deslizantes," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 15(3), pages 331-354, Julio - S.
• Joana Almeida & Raquel M. Gaspar, 2020. "Accuracy of European Stock Target Prices," Working Papers REM 2020/0115, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Raquel M. Gaspar & Sara D. Lopes & Bernardo Sequeira, 2020. "Neural Network pricing of American put options," Working Papers REM 2020/0122, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Amparo Soler-Domínguez & Juan Carlos Matallín-Sáez & Diego Víctor de Mingo-López & Emili Tortosa-Ausina, 2020. "Social responsible mutual funds and lowcarbon economy," Working Papers 2020/15, Economics Department, Universitat Jaume I, Castellón (Spain).
• Bartram, Söhnke M & Branke, Jürgen & Motahari, Mehrshad, 2020. "Artificial Intelligence in Asset Management," CEPR Discussion Papers 14525, C.E.P.R. Discussion Papers.
  • Söhnke M. Bartram & Jürgen Branke & Mehrshad Motahari, 2020. "Artificial intelligence in asset management," Working Papers 20202001, Cambridge Judge Business School, University of Cambridge.
• Prasenjit Chakrabarti & K Kiran Kumar, 2020. "High-Frequency Return-Implied Volatility Relationship: Empirical Evidence from Nifty and India VIX," Journal of Developing Areas, Tennessee State University, College of Business, vol. 54(3), pages 53-68, July-Sept.
• Jochen Güntner & Benjamin Karner, 2020. "Hedging with commodity futures and the end of normal Backwardation," Economics working papers 2020-21, Department of Economics, Johannes Kepler University Linz, Austria.
• Hatıra SADEGHZADEH EMSEN & Ömer Selçuk EMSEN & Ömer YALÇINKAYA, 2020. "An Effort To Construct A Mechanism Similar To The Taylor Rule Mechanism: Tests On Bist-100," JOURNAL OF LIFE ECONOMICS, Holistence Publications, vol. 7(1), pages 79-102, January.
• Vigo Pereira, Caio, 2021. "Portfolio efficiency with high-dimensional data as conditioning information," International Review of Financial Analysis, Elsevier, vol. 77(C).
  • Caio Vigo Pereira, 2020. "Portfolio Efficiency with High-Dimensional Data as Conditioning Information," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202015, University of Kansas, Department of Economics, revised Sep 2020.
• Mario Maggi & Maria-Laura Torrente & Pierpaolo Uberti, 2020. "Proper measures of connectedness," Annals of Finance, Springer, vol. 16(4), pages 547-571, December.
• Polin Wu & Wasin Siwasarit, 2020. "Capturing the Order Imbalance with Hidden Markov Model: A Case of SET50 and KOSPI50," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(1), pages 115-144, March.
• Hyeong-Ohk Bae & Seung-Yeal Ha & Yongsik Kim & Hyuncheul Lim & Jane Yoo, 2020. "Volatility Flocking by Cucker–Smale Mechanism in Financial Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(3), pages 387-414, September.
• Parthajit Kayal & Sayanti Mondal, 2020. "Speed of Price Adjustment in Indian Stock Market: A Paradox," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 453-476, December.
• Alexandru Mandes, 2020. "Impact of Electronic Liquidity Providers Within a High-Frequency Agent-Based Modeling Framework," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 407-450, February.
• Jules Clement Mba & Sutene Mwambi, 2020. "A Markov-switching COGARCH approach to cryptocurrency portfolio selection and optimization," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 199-214, June.
• Tania Morris & Jules Comeau, 2020. "Portfolio creation using artificial neural networks and classification probabilities: a Canadian study," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 133-163, June.
• Guglielmo Maria Caporale & Alex Plastun, 2020. "Momentum effects in the cryptocurrency market after one-day abnormal returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 251-266, September.
  • Guglielmo Maria Caporale & Alex Plastun, 2019. "Momentum Effects in the Cryptocurrency Market After One-Day Abnormal Returns," CESifo Working Paper Series 7917, CESifo.
• Frank J. Fabozzi & Iason Kynigakis & Ekaterini Panopoulou & Radu S. Tunaru, 2020. "Detecting Bubbles in the US and UK Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 469-513, May.
• Hsiao-Fen Hsiao & Jiang-Chuan Huang & Zheng-Wei Lin, 2020. "Portfolio construction using bootstrapping neural networks: evidence from global stock market," Review of Derivatives Research, Springer, vol. 23(3), pages 227-247, October.
• Maxim Ulrich & Simon Walther, 2020. "Option-implied information: What’s the vol surface got to do with it?," Review of Derivatives Research, Springer, vol. 23(3), pages 323-355, October.
• Tavy Ronen & Oleg Sokolinskiy & Ben Sopranzetti, 2020. "The risk management implications of using end of day consensus pricing for single name CDS," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 269-304, July.
• Robina Iqbal & Ghulam Sorwar & Rose Baker & Taufiq Choudhry, 2020. "Multiday expected shortfall under generalized t distributions: evidence from global stock market," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 803-825, October.
• Bihary, Zsolt & Víg, Attila András, 2020. "Heterogén kereskedési stratégiák hatása a piaci árfolyamokra [The effect of heterogeneous commercial strategies on market exchange rates]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 688-707.
• Daniel V. Fauser & Andreas Gruener, 2020. "Corporate Social Irresponsibility and Credit Risk Prediction: A Machine Learning Approach," Credit and Capital Markets, Credit and Capital Markets, vol. 53(4), pages 513-554.
• Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
  • Alessandro Giovannelli & Daniele Massacci & Stefano Soccorsi, 2020. "Forecasting Stock Returns with Large Dimensional Factor Models," Working Papers 305661169, Lancaster University Management School, Economics Department.
• Vahidin Jeleskovic & Mirko Meloni & Zahid Irshad Younas, 2020. "Cryptocurrencies: A Copula Based Approach for Asymmetric Risk Marginal Allocations," MAGKS Papers on Economics 202034, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• Rahimi, Fatemeh & Mousavian Anaraki, Seyed Alireza, 2020. "Proposing an Innovative Model Based on the Sierpinski Triangle for Forecasting EUR/USD Direction Changes," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(4), pages 423-444, October.
• Eszter Boros, 2020. "Risks of Climate Change and Credit Institution Stress Tests," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 19(4), pages 107-131.
• Hanna Kołodziejczyk, 2020. "Identifying structural changes and associations in exchange rates with Markov switching models. The evidence from Central European currency markets," Bank i Kredyt, Narodowy Bank Polski, vol. 51(1), pages 69-90.
• Jacob Boudoukh & Ronen Israel & Matthew P. Richardson, 2020. "Biases in Long-Horizon Predictive Regressions," NBER Working Papers 27410, National Bureau of Economic Research, Inc.
• Stefan Simeonov & Theodor Todorov & Daniel Nikolaev, 2020. "Testing Methods And Models To Forecast Cryptocurrencies Exchange Rate," Economics and Management, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 17(1), pages 10-26.
• Branimir Cvitko Cicvarić, 2020. "Volatility of Cryptocurrencies," Notitia - journal for economic, business and social issues, Notitia Ltd., vol. 1(6), pages 13-23, December.
• E Philip Davis & Dilruba Karim & Dennison Noel, 2020. "The Effects of Macroprudential Policy on Banks' Profitability," National Institute of Economic and Social Research (NIESR) Discussion Papers 514, National Institute of Economic and Social Research.
• E Philip Davis & Dilruba Karim & Dennison Noel, 2020. "Macroprudential Policy, Monetary Policy and the Bank Interest Rate Margin," National Institute of Economic and Social Research (NIESR) Discussion Papers 515, National Institute of Economic and Social Research.
• VESA Lidia, 2020. "The Net Present Value And The Optimal Solution Of Linear Programming In Investment Decisions," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 135-145, December.
• VESA Lidia, 2020. "Managing The Impact Of The Inventory Level On The Financial Ratios Through Dual Simplex Algorithm In The Coronavirus Crisis," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 241-256, December.
• Johanna F Ziegel & Fabian Krüger & Alexander Jordan & Fernando Fasciati, 2020. "Robust Forecast Evaluation of Expected Shortfall [Designing Realized Kernels to Measure the Ex Post Variation of Equity Prices in the Presence of Noise]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 95-120.
• Andrea Bucci, 2020. "Realized Volatility Forecasting with Neural Networks," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(3), pages 502-531.
  • Andrea Bucci, 0. "Realized Volatility Forecasting with Neural Networks," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(3), pages 502-531.
  • Bucci, Andrea, 2019. "Realized Volatility Forecasting with Neural Networks," MPRA Paper 95443, University Library of Munich, Germany.
• Fabrizio Cipollini & Giampiero M Gallo & Alessandro Palandri, 2020. "Realized Variance Modeling: Decoupling Forecasting from Estimation," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(3), pages 532-555.
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  • Fabrizio Cipollini & Giampiero M. Gallo & Alessandro Palandri, 2019. "Realized variance modeling: decoupling forecasting from estimation," Econometrics Working Papers Archive 2019_05, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• Chunhua Lan & Nikolai Roussanov, 2020. "Stock Price Movements: Business-Cycle and Low-Frequency Perspectives," Review of Asset Pricing Studies, Oxford University Press, vol. 10(2), pages 335-395.
• Anna Scherbina & Bernd Schlusche, 2020. "Follow the Leader: Using the Stock Market to Uncover Information Flows between Firms [Trade credit and cross-country predictable firm returns]," Review of Finance, European Finance Association, vol. 24(1), pages 189-225.
• Prachi Deuskar & Nitin Kumar & Jeramia Allan Poland, 2020. "Signal on the Margin: Behavior of Levered Investors and Future Economic Conditions," Review of Finance, European Finance Association, vol. 24(5), pages 1039-1077.
• Philipp Adämmer & Rainer A Schüssler, 2020. "Forecasting the Equity Premium: Mind the News!," Review of Finance, European Finance Association, vol. 24(6), pages 1313-1355.
• G Andrew Karolyi & Stijn Van Nieuwerburgh, 2020. "New Methods for the Cross-Section of Returns," Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 1879-1890.
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• Valentin Haddad & Serhiy Kozak & Shrihari Santosh, 2020. "Factor Timing," Review of Finance, European Finance Association, vol. 33(5), pages 1980-2018.
• Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Finance, European Finance Association, vol. 33(5), pages 2223-2273.
• Stijn Van Nieuwerburgh, 2020. "New Methods for the Cross-Section of Returns," Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 1879-1890.
• Valentin Haddad & Serhiy Kozak & Shrihari Santosh & Stijn Van Nieuwerburgh, 2020. "Factor Timing," Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 1980-2018.
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  • Hyeongwoo Kim & Kyunghwan Ko, 2017. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," Auburn Economics Working Paper Series auwp2017-03, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Kyunghwan Ko, 2019. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," Auburn Economics Working Paper Series auwp2019-03, Department of Economics, Auburn University.
  • Kim, Hyeongwoo & Ko, Kyunghwan, 2018. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," MPRA Paper 89449, University Library of Munich, Germany.
• Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2020. "Volatility forecasting using related markets’ information for the Tokyo stock exchange," Economic Modelling, Elsevier, vol. 90(C), pages 143-158.
• Wang, Jiazhen & Jiang, Yuexiang & Zhu, Yanjian & Yu, Jing, 2020. "Prediction of volatility based on realized-GARCH-kernel-type models: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 91(C), pages 428-444.
• Xu, Yahua & Xiao, Jun & Zhang, Liguo, 2020. "Global predictive power of the upside and downside variances of the U.S. equity market," Economic Modelling, Elsevier, vol. 93(C), pages 605-619.
• Liang, Chao & Ma, Feng & Li, Ziyang & Li, Yan, 2020. "Which types of commodity price information are more useful for predicting US stock market volatility?," Economic Modelling, Elsevier, vol. 93(C), pages 642-650.
• Wu, Xinyu & Hou, Xinmeng, 2020. "Forecasting volatility with component conditional autoregressive range model," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
• Dong, Dayong & Yue, Sishi & Cao, Jiawei, 2020. "Site visit information content and return predictability: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
• Zhang, Yaojie & Lei, Likun & Wei, Yu, 2020. "Forecasting the Chinese stock market volatility with international market volatilities: The role of regime switching," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
• Díaz-Mendoza, Ana-Carmen & Pardo, Angel, 2020. "Holidays, weekends and range-based volatility," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
• Wang, Jiexin & Han, Xue & Huang, Emily J. & Yost-Bremm, Chris, 2020. "Predictability in international stock returns using currency fluctuations and forward rate forecasts," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
• Dey, Shubhasis & Sampath, Aravind, 2020. "Returns, volatility and spillover – A paradigm shift in India?," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
• Hung, Jui-Cheng & Liu, Hung-Chun & Yang, J. Jimmy, 2020. "Improving the realized GARCH’s volatility forecast for Bitcoin with jump-robust estimators," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
• Wang, Janchung & Yeh, Shih-Kuo & Wang, Bo-Ting, 2020. "The effect of short-sale restrictions on the information transmission of extended index futures trading," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
• Zhang, Xiang, 2020. "Leisure and long-run risks: An empirical evaluation on value premium puzzle," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
• Loginov, Alexander & Heywood, Malcolm, 2020. "On the different impacts of fixed versus floating bid-ask spreads on an automated intraday stock trading," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
• Hai, Hoang Van & Park, Jong Won & Tsai, Ping-Chen & Eom, Cheoljun, 2020. "Lottery mindset, mispricing and idiosyncratic volatility puzzle: Evidence from the Chinese stock market," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
• Yin, Anwen, 2020. "Equity premium prediction and optimal portfolio decision with Bagging," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
• Sharma, Prateek & Paul, Samit & Sharma, Swati, 2020. "What’s in a name? A lot if it has “blockchain”," Economics Letters, Elsevier, vol. 186(C).
• Karlsson, Sune & Österholm, Pär, 2020. "The relation between the corporate bond-yield spread and the real economy: Stable or time-varying?," Economics Letters, Elsevier, vol. 186(C).
  • Karlsson, Sune & Österholm, Pär, 2019. "The Relation between the Corporate Bond-Yield Spread and the Real Economy: Stable or TimeVarying?," Working Papers 2019:7, Örebro University, School of Business.
• Cretarola, Alessandra & Figà-Talamanca, Gianna, 2020. "Bubble regime identification in an attention-based model for Bitcoin and Ethereum price dynamics," Economics Letters, Elsevier, vol. 191(C).
• Tsang, Kwok Ping & Yang, Zichao, 2020. "Price dispersion in bitcoin exchanges," Economics Letters, Elsevier, vol. 194(C).
• Barone-Adesi, Giovanni & Fusari, Nicola & Mira, Antonietta & Sala, Carlo, 2020. "Option market trading activity and the estimation of the pricing kernel: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 216(2), pages 430-449.
• Gao, Jiti & Xia, Kai & Zhu, Huanjun, 2020. "Heterogeneous panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 219(2), pages 329-353.
• Koo, Bonsoo & Anderson, Heather M. & Seo, Myung Hwan & Yao, Wenying, 2020. "High-dimensional predictive regression in the presence of cointegration," Journal of Econometrics, Elsevier, vol. 219(2), pages 456-477.
• Nevrla, Matěj, 2020. "Systemic risk in European financial and energy sectors: Dynamic factor copula approach," Economic Systems, Elsevier, vol. 44(4).
• Gribisch, Bastian & Hartkopf, Jan Patrick & Liesenfeld, Roman, 2020. "Factor state–space models for high-dimensional realized covariance matrices of asset returns," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 1-20.
• Christiansen, Charlotte & Grønborg, Niels S. & Nielsen, Ole L., 2020. "Mutual fund selection for realistically short samples," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 218-240.
  • Charlotte Christiansen & Niels S. Grønborg & Ole L. Nielsen, 2018. "Mutual Fund Selection for Realistically Short Samples," CREATES Research Papers 2018-36, Department of Economics and Business Economics, Aarhus University.
• Nguyen, Linh Hoang & Chevapatrakul, Thanaset & Yao, Kai, 2020. "Investigating tail-risk dependence in the cryptocurrency markets: A LASSO quantile regression approach," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 333-355.
• Tsiakas, Ilias & Li, Jiahan & Zhang, Haibin, 2020. "Equity premium prediction and the state of the economy," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 75-95.
  • Ilias Tsiakas & Jiahan Li & Haibin Zhang, 2020. "Equity Premium Prediction and the State of the Economy," Working Paper series 20-16, Rimini Centre for Economic Analysis.
• Maio, Paulo & Xu, Danielle, 2020. "Cash-flow or return predictability at long horizons? The case of earnings yield," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 172-192.
• Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 235-256.
• Bissoondoyal-Bheenick, Emawtee & Brooks, Robert & Do, Hung Xuan & Smyth, Russell, 2020. "Exploiting the heteroskedasticity in measurement error to improve volatility predictions in oil and biofuel feedstock markets," Energy Economics, Elsevier, vol. 86(C).
• Koten, Silvester Van, 2020. "Forward premia in electricity markets: A replication study," Energy Economics, Elsevier, vol. 89(C).
• Ma, Xiaohan & Samaniego, Roberto, 2020. "The macroeconomic impact of oil earnings uncertainty: New evidence from analyst forecasts," Energy Economics, Elsevier, vol. 90(C).
• Gupta, Rangan & Huber, Florian & Piribauer, Philipp, 2020. "Predicting international equity returns: Evidence from time-varying parameter vector autoregressive models," International Review of Financial Analysis, Elsevier, vol. 68(C).
  • Rangan Gupta & Florian Huber & Philipp Piribauer, 2018. "Predicting International Equity Returns: Evidence from Time-Varying Parameter Vector Autoregressive Models," Working Papers 201826, University of Pretoria, Department of Economics.
• Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).
• Lv, Fei & Yang, Chen & Fang, Libing, 2020. "Do the crude oil futures of the Shanghai International Energy Exchange improve asset allocation of Chinese petrochemical-related stocks?," International Review of Financial Analysis, Elsevier, vol. 71(C).
• Liang, Chao & Tang, Linchun & Li, Yan & Wei, Yu, 2020. "Which sentiment index is more informative to forecast stock market volatility? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 71(C).
• Umutlu, Mehmet & Bengitöz, Pelin, 2020. "The cross-section of industry equity returns and global tactical asset allocation across regions and industries," International Review of Financial Analysis, Elsevier, vol. 72(C).

2019

• Germán Eduardo González, 2019. "Análisis de sentimientos de noticias e inversionistas en el mercado bursátil," Documentos CEDE 017375, Universidad de los Andes – Facultad de Economía – CEDE.
• Xiomara Esther Vazquez Carrazana & Gilberto José Miranda, 2019. "Relación entre indicadores económicos y precio de acciones en empresas brasilenas," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 27(2), pages 51-66, June.
• Edwin Alexander Veloza Moreno, 2019. "Aplicación del modelo estocástico de difusion -salto de merton para la simulación del valor del índice colcap," Vniversitas Económica 017377, Universidad Javeriana - Bogotá.
• BAUWENS Luc, & XU Yongdeng,, 2019. "DCC-HEAVY: A multivariate GARCH model based on realized variances and correlations," LIDAM Discussion Papers CORE 2019025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Tomasz Sosnowski & Anna Wawryszuk-Misztal, 2019. "Diversity on management and supervisory board and accuracy of management earnings forecasts in IPO prospectuses," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 18(3), pages 347-363, September.
• Fiorentini, Gabriele & Sentana, Enrique, 2021. "New testing approaches for mean–variance predictability," Journal of Econometrics, Elsevier, vol. 222(1), pages 516-538.
  • Gabriele Fiorentini & Enrique Sentana, 2018. "New Testing Approaches for Mean-Variance Predictability," Working Papers wp2018_1814, CEMFI.
  • Fiorentini, Gabriele & Sentana, Enrique, 2019. "New testing approaches for mean-variance predictability," CEPR Discussion Papers 13426, C.E.P.R. Discussion Papers.
  • Gabriele Fiorentini & Enrique Sentana, 2019. "New testing approaches for mean-variance predictability," Working Paper series 19-01, Rimini Centre for Economic Analysis.
  • Gabriele Fiorentini & Enrique Sentana, 2019. "New testing approaches for mean-variance predictability," Econometrics Working Papers Archive 2019_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• Tobias Adrian & Daniel Stackman & Erik Vogt, 2019. "Global Price of Risk and Stabilization Policies," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(1), pages 215-260, March.
  • Tobias Adrian & Daniel Stackman & Erik Vogt, 2016. "Global price of risk and stabilization policies," Staff Reports 786, Federal Reserve Bank of New York.
  • Adrian, Tobias & Stackman, Daniel & Vogt, Erik, 2019. "Global Price of Risk and Stabilization Policies," CEPR Discussion Papers 13435, C.E.P.R. Discussion Papers.
• Distaso, Walter & Mele, Antonio & Vilkov, Grigory, 2019. "Correlation Risk, Strings and Asset Prices," CEPR Discussion Papers 13873, C.E.P.R. Discussion Papers.
• Josh Davis & Alan M. Taylor, 2019. "The Leverage Factor: Credit Cycles and Asset Returns," NBER Working Papers 26435, National Bureau of Economic Research, Inc.
  • Davis, Josh & Taylor, Alan M., 2019. "The Leverage Factor: Credit Cycles and Asset Returns," CEPR Discussion Papers 14115, C.E.P.R. Discussion Papers.
• Daniel L. Greenwald & Martin Lettau & Sydney C. Ludvigson, 2019. "How the Wealth Was Won: Factors Shares as Market Fundamentals," NBER Working Papers 25769, National Bureau of Economic Research, Inc.
  • Greenwald, Daniel L. & Lettau, Martin & Ludvigson, Sydney, 2019. "How the Wealth Was Won: Factor Shares as Market Fundamentals," CEPR Discussion Papers 14200, C.E.P.R. Discussion Papers.
• Leonardo Gambacorta & Yiping Huang & Han Qiu & Jingyi Wang, 2019. "How do machine learning and non-traditional data affect credit scoring? New evidence from a Chinese fintech firm," BIS Working Papers 834, Bank for International Settlements.
  • Gambacorta, Leonardo & Huang, Yiping & Qiu, Han & Wang, Jingyi, 2019. "How do machine learning and non-traditional data affect credit scoring? New evidence from a Chinese fintech firm," CEPR Discussion Papers 14259, C.E.P.R. Discussion Papers.
• Moura, Guilherme V. & Santos, André A. P. & Ruiz Ortega, Esther, 2019. "Comparing Forecasts of Extremely Large Conditional Covariance Matrices," DES - Working Papers. Statistics and Econometrics. WS 29291, Universidad Carlos III de Madrid. Departamento de Estadística.
• Kuo-Hwa Chang & Michael Nayat Young, 2019. "Portfolios Optimizations of Behavioral Stocks with Perception Probability Weightings," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 817-845, November.
• Barnett, William A. & Su, Liting, 2019. "Risk Adjustment Of The Credit-Card Augmented Divisia Monetary Aggregates," Macroeconomic Dynamics, Cambridge University Press, vol. 23(S1), pages 90-114, September.
  • Barnett, William & Su, Liting, 2016. "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," Studies in Applied Economics 67, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
  • William Barnett & Liting Su, 2016. "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201606, University of Kansas, Department of Economics, revised Aug 2016.
  • Barnett, William & Su, Liting, 2016. "Risk adjustment of the credit-card augmented Divisia monetary aggregates," MPRA Paper 73248, University Library of Munich, Germany.
• Karlo Kauko & Eero Tölö, 2019. "Banking Crisis Prediction with Differenced Relative Credit," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 65(4), pages 277-297.
• Karlo Kauko & Eero Tölö, 2019. "Banking Crisis Prediction with Differenced Relative Credit," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 65(4), pages 277-297.
  • Kauko, Karlo & Tölö, Eero, 2019. "Banking crisis prediction with differenced relative credit," BoF Economics Review 4/2019, Bank of Finland.
• Михаела Монова, 2019. "Новите Законодателните Промени По Застраховка „Гражданска Отговорност” На Автомобилистите И Влиянието Им Върху Финансовата Стабилност На Българския Застрахователен Пазар," Almanac of PhD Students, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, vol. 15(15 Year 2), pages 125-154.
• Анелия Пенева, 2019. "Анализ На Взаимовръзките Между Капиталовите И Валутните Пазари," Almanac of PhD Students, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, vol. 15(15 Year 2), pages 29-50.
• Стефан Симеонов & Теодор Тодоров & Даниел Николаев, 2019. "Развитие На Честотния Анализ На Променливостта В Модел За Прогнозиране Тренда На Финансовите Пазари И Сравнителна Емпирична Оценка С Техническия Анализ," Electronic magazine "Dialogue", D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 37-70.
• Lang, Jan Hannes & Forletta, Marco, 2019. "Bank capital-at-risk: measuring the impact of cyclical systemic risk on future bank losses," Macroprudential Bulletin, European Central Bank, vol. 9.
• Lang, Jan Hannes & Izzo, Cosimo & Fahr, Stephan & Ruzicka, Josef, 2019. "Anticipating the bust: a new cyclical systemic risk indicator to assess the likelihood and severity of financial crises," Occasional Paper Series 219, European Central Bank.
• Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2021. "CoMap: Mapping Contagion in the Euro Area Banking Sector," Journal of Financial Stability, Elsevier, vol. 53(C).
  • Christoffer Kok & Mehmet Ziya Gorpe & Giovanni Covi, 2019. "CoMap: Mapping Contagion in the Euro Area Banking Sector," IMF Working Papers 2019/102, International Monetary Fund.
  • Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2019. "CoMap: mapping contagion in the euro area banking sector," Working Paper Series 2224, European Central Bank.
• Kelly, Jane & Le Blanc, Julia & Lydon, Reamonn, 2018. "Pockets of risk in European Housing Markets: then and now," Research Technical Papers 12/RT/18, Central Bank of Ireland.
  • Kelly, Jane & Le Blanc, Julia & Lydon, Reamonn, 2019. "Pockets of risk in European housing markets: then and now," Working Paper Series 2277, European Central Bank.
  • Kelly, Jane & Le Blanc, Julia & Lydon, Reamonn, 2019. "Pockets of risk in European housing markets: then and now," ESRB Working Paper Series 87, European Systemic Risk Board.
• Maqui, Eduardo & Sydow, Matthias & Gourdel, Régis, 2019. "Investment funds under stress," Working Paper Series 2323, European Central Bank.
• Ma, Sai & Zhang, Shaojun, 2019. "Housing Cycle and Exchange Rates," Working Paper Series 2019-14, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
• Stulz, Rene M., 2019. "Public versus Private Equity," Working Paper Series 2019-27, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
• Kalai Lamia & Kasraoui Naziha, 2019. "Financial Cointegration and the Vector Error Correction Model: The Case of MENA Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 9(1), pages 160-168.
• Chin-Sheng Huang & Yi-Sheng Liu, 2019. "Machine Learning on Stock Price Movement Forecast: The Sample of the Taiwan Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 9(2), pages 189-201.
• Raúl de Jesús-Gutiérrez & Roberto J. Santillán-Salgado, 2019. "Conditional Extreme Values Theory and Tail-related Risk Measures: Evidence from Latin American Stock Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 127-141.
• Arindam Banerjee, 2019. "Forecasting of India VIX as a Measure of Sentiment," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 268-276.
• Rama Krishna Yelamanchili, 2019. "Impact of Consumer Sentiment on Defensive and Aggressive Stock Returns: Indian Evidence," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 109-114.
• Nidhi Malhotra & Saumya Gupta, 2019. "Volatility Spillovers and Correlation Between Cryptocurrencies and Asian Equity Market," International Journal of Economics and Financial Issues, Econjournals, vol. 9(6), pages 208-215.
• Onder Buberkoku, 2019. "Do Long-memory GARCH-type-Value-at-Risk Models Outperform None-and Semi-parametric Value-at-Risk Models?," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 199-215.
• Akono, Henri & Karim, Khondkar & Nwaeze, Emeka, 2019. "Analyst rounding of EPS forecasts and stock recommendations," Advances in accounting, Elsevier, vol. 44(C), pages 68-80.
• Filiz, Ibrahim & Nahmer, Thomas & Spiwoks, Markus, 2019. "Herd behavior and mood: An experimental study on the forecasting of share prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
• Frank, Murray Z. & Nezafat, Mahdi, 2019. "Testing the credit-market-timing hypothesis using counterfactual issuing dates," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 187-207.
• Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
• Fiszeder, Piotr & Fałdziński, Marcin, 2019. "Improving forecasts with the co-range dynamic conditional correlation model," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
• Zhang, Han & Fan, Xiaoyun & Guo, Bin & Zhang, Wei, 2019. "Reexamining time-varying bond risk premia in the post-financial crisis era," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
• Oh, Sekyung & Kee, Hyukdo & Park, Kinam, 2019. "Tail risk under price limits," Economic Modelling, Elsevier, vol. 77(C), pages 113-123.
• Zhang, Yaojie & Zeng, Qing & Ma, Feng & Shi, Benshan, 2019. "Forecasting stock returns: Do less powerful predictors help?," Economic Modelling, Elsevier, vol. 78(C), pages 32-39.
• Koubaa, Yosra & Slim, Skander, 2019. "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, vol. 82(C), pages 168-184.
• Chen, An-Sing & Chang, Hung-Chou & Cheng, Lee-Young, 2019. "Time-varying Variance Scaling: Application of the Fractionally Integrated ARMA Model," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 1-12.
• Abdul Aziz, Nor Syahilla & Vrontos, Spyridon & M. Hasim, Haslifah, 2019. "Evaluation of multivariate GARCH models in an optimal asset allocation framework," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 568-596.
• Tissaoui, Kais & Azibi, Jamel, 2019. "International implied volatility risk indexes and Saudi stock return-volatility predictabilities," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 65-84.
• Kang, Hankil & Ryu, Doojin, 2019. "Information in mispricing factors for future investment opportunities," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 657-668.
• Meng, Xiangcai & Huang, Chia-Hsing, 2019. "The time-frequency co-movement of Asian effective exchange rates: A wavelet approach with daily data," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 131-148.
• Su, Zhi & Fang, Tong & Yin, Libo, 2019. "Understanding stock market volatility: What is the role of U.S. uncertainty?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 582-590.
• Wang, Ximei & Zhao, Yanlong & Bao, Ying, 2019. "Arbitrage-free conditions for implied volatility surface by Delta," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 819-834.
• Salisu, Afees A. & Isah, Kazeem & Akanni, Lateef O., 2019. "Improving the predictability of stock returns with Bitcoin prices," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 857-867.
• Haas Ornelas, José Renato, 2019. "Expected currency returns and volatility risk premia," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 206-234.
  • José Renato Haas Ornelas, 2017. "Expected Currency Returns and Volatility Risk Premia," Working Papers Series 454, Central Bank of Brazil, Research Department.
• Uddin, Gazi Salah & Gençay, Ramazan & Bekiros, Stelios & Sahamkhadam, Maziar, 2019. "Enhancing the predictability of crude oil markets with hybrid wavelet approaches," Economics Letters, Elsevier, vol. 182(C), pages 50-54.
• Delgado-Mohatar, Oscar & Felis-Rota, Marta & Fernández-Herraiz, Carlos, 2019. "The Bitcoin mining breakdown: Is mining still profitable?," Economics Letters, Elsevier, vol. 184(C).
• Bandi, F.M. & Perron, B. & Tamoni, A. & Tebaldi, C., 2019. "The scale of predictability," Journal of Econometrics, Elsevier, vol. 208(1), pages 120-140.
  • Federico M. Bandi & Bernard Perron & Andrea Tamoni & Claudio Tebaldi, 2014. "The scale of predictability," Working Papers 509, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  • Bandi, F.M & Perron, B & Tamoni, Andrea & Tebaldi, C., 2018. "The scale of predictability," LSE Research Online Documents on Economics 85646, London School of Economics and Political Science, LSE Library.
  • Federico M. Bandi & Benoit Perron & Andrea Tamoni & Claudio Tebaldi, 2015. "The scale of predictability," CIRANO Working Papers 2015s-21, CIRANO.
• Fisher, Mark & Jensen, Mark J., 2019. "Bayesian inference and prediction of a multiple-change-point panel model with nonparametric priors," Journal of Econometrics, Elsevier, vol. 210(1), pages 187-202.
  • Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," Working Paper series 18-12, Rimini Centre for Economic Analysis.
  • Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," FRB Atlanta Working Paper 2018-2, Federal Reserve Bank of Atlanta.
• Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019. "Dynamic semiparametric models for expected shortfall (and Value-at-Risk)," Journal of Econometrics, Elsevier, vol. 211(2), pages 388-413.
  • Andrew J. Patton & Johanna F. Ziegel & Rui Chen, 2017. "Dynamic Semiparametric Models for Expected Shortfall (and Value-at-Risk)," Papers 1707.05108, arXiv.org.
• Andreasen, Martin M. & Christensen, Jens H.E. & Rudebusch, Glenn D., 2019. "Term Structure Analysis with Big Data: One-Step Estimation Using Bond Prices," Journal of Econometrics, Elsevier, vol. 212(1), pages 26-46.
• Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2019. "Regime switching dynamic correlations for asymmetric and fat-tailed conditional returns," Journal of Econometrics, Elsevier, vol. 213(2), pages 493-515.
• Ma, Xiaohan & Samaniego, Roberto, 2019. "Deconstructing uncertainty," European Economic Review, Elsevier, vol. 119(C), pages 22-41.
• Zhi, Tianhao & Li, Zhongfei & Jiang, Zhiqiang & Wei, Lijian & Sornette, Didier, 2019. "Is there a housing bubble in China?," Emerging Markets Review, Elsevier, vol. 39(C), pages 120-132.
• Trucíos, Carlos & Hotta, Luiz K. & Valls Pereira, Pedro L., 2019. "On the robustness of the principal volatility components," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 201-219.
  • Trucíos Maza, Carlos César & Hotta, Luiz Koodi & Pereira, Pedro L. Valls, 2018. "On the robustness of the principal volatility components," Textos para discussão 474, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
• Kearney, Fearghal & Cummins, Mark & Murphy, Finbarr, 2019. "Using extracted forward rate term structure information to forecast foreign exchange rates," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 1-14.
• Díaz-Hernández, Adán & Constantinou, Nick, 2019. "A multiple regime extension to the Heston–Nandi GARCH(1,1) model," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 162-180.
• Panopoulou, Ekaterini & Souropanis, Ioannis, 2019. "The role of technical indicators in exchange rate forecasting," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 197-221.
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• Charles Raoul Tchuinkam Djemo & John Weirstrass Muteba Mwamba & Mathias Mandla Manguzvane, 2021. "Exchange Rate Risk and International Equity Portfolio Diversification: A South African Investor’s Perspective," The African Finance Journal, Africagrowth Institute, vol. 23(2), pages 36-49.
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• Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
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• Anders Eriksson & Daniel P. A. Preve & Jun Yu, 2019. "Forecasting Realized Volatility Using a Nonnegative Semiparametric Model," JRFM, MDPI, vol. 12(3), pages 1-23, August.
  • Daniel Preve & Anders Eriksson & Jun Yu, "undated". "Forecasting Realized Volatility Using A Nonnegative Semiparametric Model," Working Papers CoFie-02-2007, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
  • Daniel Preve & Anders Eriksson & Jun Yu, 2009. "Forecasting Realized Volatility Using A Nonnegative Semiparametric Model," Finance Working Papers 23049, East Asian Bureau of Economic Research.
  • Daniel PREVE & Anders ERIKSSON & Jun YU, 2009. "Forecasting Realized Volatility Using A Nonnegative Semiparametric Model," Working Papers 22-2009, Singapore Management University, School of Economics.
• Fabien Floc’h & Cornelis W. Oosterlee, 2019. "Model-free stochastic collocation for an arbitrage-free implied volatility: Part I," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 679-714, December.
  • Fabien Le Floc’h & Cornelis W. Oosterlee, 2019. "Model-Free Stochastic Collocation for an Arbitrage-Free Implied Volatility, Part II," Risks, MDPI, vol. 7(1), pages 1-21, March.
• Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2019. "Machine Learning for Forecasting Excess Stock Returns – The Five-Year-View," Graz Economics Papers 2019-06, University of Graz, Department of Economics.
• Enno Mammen & Jens Perch Nielsen & Michael Scholz & Stefan Sperlich, 2019. "Conditional variance forecasts for long-term stock returns," Graz Economics Papers 2019-08, University of Graz, Department of Economics.
• Karlsson, Sune & Österholm, Pär, 2020. "The relation between the corporate bond-yield spread and the real economy: Stable or time-varying?," Economics Letters, Elsevier, vol. 186(C).
  • Karlsson, Sune & Österholm, Pär, 2019. "The Relation between the Corporate Bond-Yield Spread and the Real Economy: Stable or TimeVarying?," Working Papers 2019:7, Örebro University, School of Business.
• Kladívko, Kamil & Österholm, Pär, 2021. "Do market participants’ forecasts of financial variables outperform the random-walk benchmark?," Finance Research Letters, Elsevier, vol. 40(C).
  • Kladivko, Kamil & Österholm, Pär, 2019. "Market Participants’ Forecasts of Financial Variables – Can Survey Data Outperform the Random Walk?," Working Papers 2019:10, Örebro University, School of Business.
• Mikhail Stolbov, 2019. "Constructing a Financial Stress Index for Russia: New Approaches," HSE Economic Journal, National Research University Higher School of Economics, vol. 23(1), pages 32-60.
• Valeria V. Lakshina, 2019. "Do Portfolio Investors Need To Consider The Asymmetry Of Returns On The Russian Stock Market?," HSE Working papers WP BRP 75/FE/2019, National Research University Higher School of Economics.
• Nataliia Vygovska & Andriy Polchanov, 2019. "Estimation of the Losses of the Ukraine's Financial Potential from Military Conflict," Oblik i finansi, Institute of Accounting and Finance, issue 4, pages 70-77, December.
• Dinh Hoang Bach Phan & Thi Thao Nguyen Nguyen & Dat Thanh Nguyen, 2019. "A Study Of Indonesia’S Stock Market: How Predictable Is It?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 0(12th BMEB), pages 1-12, January.
• Shahid Anjum & Naveeda Qaseem, 2019. "Big Data Algorithms And Prediction: Bingos And Risky Zones In Sharia Stock Market Index," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 5(3), pages 1-16.
• Carlo A. Favero & Alessandro Melone, 2019. "Asset Pricing vs Asset Expected Returning in Factor Models," Working Papers 651, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
• Scott A. Brave & Jose A. Lopez, 2019. "Calibrating Macroprudential Policy to Forecasts of Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 15(1), pages 1-59, March.
  • Scott A. Brave & Jose A. Lopez, 2017. "Calibrating Macroprudential Policy to Forecasts of Financial Stability," Working Paper Series 2017-17, Federal Reserve Bank of San Francisco.
• Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2019. "CoMap: mapping contagion in the euro area banking sector," Working Paper Series 2224, European Central Bank.
  • Mehmet Ziya Gorpe & Giovanni Covi & Christoffer Kok, 2019. "CoMap: Mapping Contagion in the Euro Area Banking Sector," IMF Working Papers 19/102, International Monetary Fund.
• Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2021. "CoMap: Mapping Contagion in the Euro Area Banking Sector," Journal of Financial Stability, Elsevier, vol. 53(C).
  • Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2019. "CoMap: mapping contagion in the euro area banking sector," Working Paper Series 2224, European Central Bank.
  • Christoffer Kok & Mehmet Ziya Gorpe & Giovanni Covi, 2019. "CoMap: Mapping Contagion in the Euro Area Banking Sector," IMF Working Papers 2019/102, International Monetary Fund.
• Gustavo Cabrera González, 2019. "Modeling and Projection of the Mexican Exchange Rate (Peso/Dollar): a Bayesian Approach for Model Selection," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(2), pages 203-219, Abril-Jun.
• Araceli Matías González & María Teresa Verónica Martínez-Palacios & Ambrosio Ortiz-Ramírez, 2019. "Consumo e inversión óptimos y valuación de opciones asiáticas en un entorno estocástico con fundamentos microeconómicos y simulación Monte Carlo," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(3), pages 397-414, Julio - S.
• Oscar V. De la Torre-Torres & Dora Aguilasocho-Montoya & José Álvarez-García, 2019. "Active portfolio management in the Andean countries'' stock markets with Markov-Switching GARCH models," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 601-616, Agosto 20.
• Renato Faccini & Eirini Konstantinidi & George Skiadopoulos & Sylvia Sarantopoulou-Chiourea, 2019. "A New Predictor of U.S. Real Economic Activity: The S&P 500 Option Implied Risk Aversion," Management Science, INFORMS, vol. 65(10), pages 4927-4949, October.
  • Renato Faccini & Eirini Konstantinidi & George Skiadopoulos & Sylvia Sarantopoulou-Chiourea, 2018. "A New Predictor of US. Real Economic Activity: The S&P 500 Option Implied Risk Aversion," Working Papers 850, Queen Mary University of London, School of Economics and Finance.
• Antonio Gargano & Davide Pettenuzzo & Allan Timmermann, 2019. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Management Science, INFORMS, vol. 65(2), pages 508-540, February.
  • Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75, Brandeis University, Department of Economics and International Businesss School.
  • Gargano, Antonio & Pettenuzzo, Davide & Timmermann, Allan G, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," CEPR Discussion Papers 10104, C.E.P.R. Discussion Papers.
  • Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75R, Brandeis University, Department of Economics and International Businesss School, revised Jul 2016.
• Van Son Lai & Xiaoxia Ye, 2019. "How Does the Stock Market View Bank Regulatory Capital Forbearance Policies?," Working Papers 2019-012, Department of Research, Ipag Business School.
• João Guerra & Manuel Guerra & Zachary Polaski, 2019. "Market Timing with Option-Implied Distributions in an Exponentially Tempered Stable Lévy Market," Working Papers REM 2019/74, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Raquel M. Gaspar & Paulo M. Silva, 2019. "Investors’ Perspective on Portfolio InsuranceExpected Utility vs Prospect Theories," Working Papers REM 2019/92, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Kotaro Miwa, 2019. "Stock Futures of a Flawed Market Index," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(1), pages 1-21, March.
• Stelios Bekiros & Nikolaos Loukeris & Nikolaos Matsatsinis & Frank Bezzina, 2019. "Customer Satisfaction Prediction in the Shipping Industry with Hybrid Meta-heuristic Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 647-667, August.
• Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2019. "Bitcoin fluctuations and the frequency of price overreactions," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 109-131, June.
  • Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2018. "Bitcoin Fluctuations and the Frequency of Price Overreactions," CESifo Working Paper Series 7280, CESifo.
• Riza Erdugan & Nada Kulendran & Riccardo Natoli, 2019. "Incorporating financial market volatility to improve forecasts of directional changes in Australian share market returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 417-445, December.
• Marzia De Donno & Riccardo Donati & Gino Favero & Paola Modesti, 2019. "Risk estimation for short-term financial data through pooling of stable fits," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 447-470, December.
• Evangelos C. Charalambakis & Ian Garrett, 2019. "On corporate financial distress prediction: What can we learn from private firms in a developing economy? Evidence from Greece," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 467-491, February.
• Patrick Bielstein & Matthias X. Hanauer, 2019. "Mean-variance optimization using forward-looking return estimates," Review of Quantitative Finance and Accounting, Springer, vol. 52(3), pages 815-840, April.
• Chen Su & Hanxiong Zhang & Kenbata Bangassa & Nathan Lael Joseph, 2019. "On the investment value of sell-side analyst recommendation revisions in the UK," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 257-293, July.
• Kamaldeen Ibraheem Nageri & Azeez Tunbosun Lawal & Falilat Ajoke Abdul, 2019. "Risk - Return Relationship: Nigerian Stock Market during Pre and Post 2007-2009 Financial Meltdown," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(2), pages 52-62, June.
• Simona David, 2019. "Assessing the Opportunities and Behaviors of Banking Clients in Romania: An Analysis of the Use of Online Banking Applications," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(2), pages 63-73, June.
• Kim Kaivanto & Peng Zhang, 2019. "Investor Sentiment as a Predictor of Market Returns," Working Papers 268005798, Lancaster University Management School, Economics Department.
• Kim Kaivanto & Peng Zhang, 2019. "Popular Music, Sentiment, and Noise Trading," Working Papers 279326509, Lancaster University Management School, Economics Department.
• Kordmanjiri, Sajad & Dadashi, Iman & Khoshnoud, Zahra & Gholamnia, Hamidreza, 2019. "Banks Credit Risk, with Emphasis on Audit Report of Legal Customers (in Persian)," Journal of Monetary and Banking Research (فصلنامه پژوهش‌های پولی-بانکی), Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 12(41), pages 551-576, December.
• Ivelin Elenchev & Aleksandar Vasilev, 2019. "Forecasting the Success Rate of Reward Based Crowdfunding Projects," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 17(1 (Spring), pages 51-77.
  • Ivelin Elenchev & Aleksandar Vasilev, 2017. "Forecasting the Success Rate of Reward Based Crowdfunding Projects," Bulgarian Economic Papers bep-2017-09, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Nov 2017.
  • Elenchev, Ivelin & Vasilev, Aleksandar, 2017. "Forecasting the Success Rate of Reward Based Crowdfunding Projects," EconStor Preprints 170681, ZBW - Leibniz Information Centre for Economics.
• Adrian Besimi & Zamir Dika & Visar Shehu & Mubarek Selimi, 2019. "Applied Text-Mining Algorithms for Stock Price Prediction Based on Financial News Articles," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 17(4 (Winter), pages 335-351.
• Ikhlaas Gurrib & Qian Long Kweh & Mohammad Nourani & Irene Wei Kiong Ting, 2019. "Are Cryptocurrencies Affected by Their Asset Class Movements or News Announcements?," Malaysian Journal of Economic Studies, Faculty of Business and Economics, University of Malaya & Malaysian Economic Association, vol. 56(2), pages 201-225, December.
• Kira Muratov-Szabó & Kata Váradi, 2019. "The Impact of Adverse Selection on Stock Exchange Specialists’ Price Quotation Strategy," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(1), pages 88-124.
• Cheng, T. & Gao, J. & Linton, O., 2019. "Nonparametric Predictive Regressions for Stock Return Prediction," Cambridge Working Papers in Economics 1932, Faculty of Economics, University of Cambridge.
  • Tingting Cheng & Jiti Gao & Oliver Linton, 2019. "Nonparametric Predictive Regressions for Stock Return Prediction," Monash Econometrics and Business Statistics Working Papers 4/19, Monash University, Department of Econometrics and Business Statistics.
• Krystian Jaworski, 2019. "Sentiment-induced regime switching in density forecasts of emerging markets’ exchange rates. Calibrated simulation trumps estimated autoregression," Bank i Kredyt, Narodowy Bank Polski, vol. 50(1), pages 83-106.
• Krzysztof Borowski & Izabela Pruchnicka-Grabias, 2019. "Optimal lengths of moving averages for the MACD oscillator for companies listed on the Warsaw Stock Exchange," Bank i Kredyt, Narodowy Bank Polski, vol. 50(5), pages 457-478.
• Wolfram Schlenker & Charles A Taylor, 2019. "Market Expectations About Climate Change," NBER Working Papers 25554, National Bureau of Economic Research, Inc.
• Hui Chen & Scott Joslin & Sophie X. Ni, 2019. "Demand for Crash Insurance, Intermediary Constraints, and Risk Premia in Financial Markets," NBER Working Papers 25573, National Bureau of Economic Research, Inc.
• Greenwald, Daniel L. & Lettau, Martin & Ludvigson, Sydney, 2019. "How the Wealth Was Won: Factor Shares as Market Fundamentals," CEPR Discussion Papers 14200, C.E.P.R. Discussion Papers.
  • Daniel L. Greenwald & Martin Lettau & Sydney C. Ludvigson, 2019. "How the Wealth Was Won: Factors Shares as Market Fundamentals," NBER Working Papers 25769, National Bureau of Economic Research, Inc.
• Zheng Tracy Ke & Bryan T. Kelly & Dacheng Xiu, 2019. "Predicting Returns With Text Data," NBER Working Papers 26186, National Bureau of Economic Research, Inc.
• Davis, Josh & Taylor, Alan M., 2019. "The Leverage Factor: Credit Cycles and Asset Returns," CEPR Discussion Papers 14115, C.E.P.R. Discussion Papers.
  • Josh Davis & Alan M. Taylor, 2019. "The Leverage Factor: Credit Cycles and Asset Returns," NBER Working Papers 26435, National Bureau of Economic Research, Inc.
• Steven F. Lehrer & Tian Xie & Tao Zeng, 2019. "Does High Frequency Social Media Data Improve Forecasts of Low Frequency Consumer Confidence Measures?," NBER Working Papers 26505, National Bureau of Economic Research, Inc.
• Bryan T. Kelly & Asaf Manela & Alan Moreira, 2019. "Text Selection," NBER Working Papers 26517, National Bureau of Economic Research, Inc.
• Brychykova, A., 2019. "Capital Asset Pricing Model Using Fuzzy Data and Application for the Russian Stock Market," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 58-77.
• Harvey, Campbell R., 2019. "Editorial: Replication in Financial Economics," Critical Finance Review, now publishers, vol. 8(1-2), pages 1-9, December.
• Kevin Sheppard & Wen Xu, 2019. "Factor High-Frequency-Based Volatility (HEAVY) Models," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 17(1), pages 33-65.
• Dirk G Baur & Thomas Dimpfl, 2019. "A Quantile Regression Approach to Estimate the Variance of Financial Returns," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 17(4), pages 616-644.
• Prasanna Gai & Sujit Kapadia, 2019. "Networks and systemic risk in the financial system," Oxford Review of Economic Policy, Oxford University Press, vol. 35(4), pages 586-613.
• Gustavo S Cortes & Marc D Weidenmier, 2019. "Stock Volatility and the Great Depression," Review of Financial Studies, Society for Financial Studies, vol. 32(9), pages 3544-3570.
  • Gustavo S. Cortes & Marc D. Weidenmier, 2017. "Stock Volatility and the Great Depression," NBER Working Papers 23554, National Bureau of Economic Research, Inc.
• Claudia Isac, 2019. "The Impact of Technologic Innovation on Business in the Financial-Banking Field," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 122-126, December.
• Ilie Răscolen & Ileana – Sorina Rakos, 2019. "Bankruptcy Risk Analysis Based on the Patrimonial Balance Sheet," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 869-878, December.
• Cristi Spulbar & Zulfiqar Ali Imran & Ramona Birau, 2019. "Analyzing Short Term Momentum Effect on Stock Market of Hong Kong. An Empirical Case Study," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 889-894, December.
• H Peyton Young & Mark Paddrik, 2019. "How Safe are Central Counterparties in Credit Default Swap Markets?," Economics Series Working Papers 885, University of Oxford, Department of Economics.
• Pareja Vasseur, Julián. DBA & Prada Sánchez, Marcela & Moreno Escobar, Martha, 2019. "Volatilidad en Opciones Reales: Revisión Literaria y un Caso de Aplicación en el Sector Petrolero Colombiano || Real Options Volatility: Literature Review and a Case of Application in the Colombian Oi," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 27(1), pages 136-155, June.
• Aitoutouhen, Latifa & Hamza, Faris, 2019. "Strategic Allocation of Pension Reserve Funds: Application of ALM Model and LDI Technique || Asignación Estratégica de Fondos de Reserva de Pensiones: Aplicación del Modelo ALM y LDI Técnica," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 28(1), pages 381-425, December.
• Dominik Wolff & Ulrich Neugebauer, 2019. "Tree-based machine learning approaches for equity market predictions," Journal of Asset Management, Palgrave Macmillan, vol. 20(4), pages 273-288, July.
• Wolfgang Drobetz & Rebekka Haller & Christian Jasperneite & Tizian Otto, 2019. "Predictability and the cross section of expected returns: evidence from the European stock market," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 508-533, December.
• Tobias Adrian & Daniel Stackman & Erik Vogt, 2019. "Global Price of Risk and Stabilization Policies," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(1), pages 215-260, March.
  • Tobias Adrian & Daniel Stackman & Erik Vogt, 2016. "Global price of risk and stabilization policies," Staff Reports 786, Federal Reserve Bank of New York.
  • Adrian, Tobias & Stackman, Daniel & Vogt, Erik, 2019. "Global Price of Risk and Stabilization Policies," CEPR Discussion Papers 13435, C.E.P.R. Discussion Papers.

2018

• Chorro, Christophe & Guégan, Dominique & Ielpo, Florian & Lalaharison, Hanjarivo, 2018. "Testing for leverage effects in the returns of US equities," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 290-306.
  • Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2014. "Testing for Leverage Effects in the Returns of US Equities," Documents de travail du Centre d'Economie de la Sorbonne 14022r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jan 2017.
  • Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2018. "Testing for leverage effects in the returns of US equities," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01917590, HAL.
  • Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2017. "Testing for Leverage Effects in the Returns of US Equities," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00973922, HAL.
• Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Bekiros, Stelios & Shahbaz, Muhammad & Kayani, Ghulam Mujtaba, 2018. "A systemic risk analysis of Islamic equity markets using vine copula and delta CoVaR modeling," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 104-127.
  • Syed Jawad Hussain Shahzad & Jose Arreola Hernandez & Stelios Bekiros & Muhammad Shahbaz & Ghulam Mujtaba Kayani, 2018. "A systemic risk analysis of Islamic equity markets using vine copula and delta CoVaR modeling," Post-Print hal-01989649, HAL.
• BenSaïda, Ahmed & Litimi, Houda & Abdallah, Oussama, 2018. "Volatility spillover shifts in global financial markets," Economic Modelling, Elsevier, vol. 73(C), pages 343-353.
  • Ahmed Bensaïda & Houda Litimi & Oussama Abdallah, 2018. "Volatility spillover shifts in global financial markets," Post-Print hal-02869496, HAL.
• Saker Sabkha & Christian de Peretti & Dorra Hmaied, 2018. "Forecasting sovereign CDS volatility: A comparison of univariate GARCH-class models," Working Papers hal-01769390, HAL.
• Becker, Janis & Leschinski, Christian, 2018. "Directional Predictability of Daily Stock Returns," Hannover Economic Papers (HEP) dp-624, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Janis Becker & Christian Leschinski, 2021. "Estimating the volatility of asset pricing factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 269-278, March.
  • Becker, Janis & Leschinski, Christian, 2018. "Estimating the Volatility of Asset Pricing Factors," Hannover Economic Papers (HEP) dp-631, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Becker, Janis & Leschinski, Christian, 2018. "The Bias of Realized Volatility," Hannover Economic Papers (HEP) dp-642, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Gick, Wolfgang & Weissensteiner, Alex, 2018. "Analysts' Disagreement and Investor Decisions," Working Paper Series 1207, Research Institute of Industrial Economics.
• Andrey Leonidov & Vladimir Nechitailo & Ekaterina Serebryannikova, 2018. "Interbank Network Topology in the Agent-based Model of Banking System," HSE Economic Journal, National Research University Higher School of Economics, vol. 22(3), pages 387-417.
• Karatetskaya Efrosiniya & Lakshina Valeriya, 2018. "Volatility Spillovers With Spatial Effects On The Oil And Gas Market," HSE Working papers WP BRP 72/FE/2018, National Research University Higher School of Economics.
• Esther Eiling & Raymond Kan & Ali Sharifkhani, 2018. "Sectoral Labor Reallocation and Return Predictability," Working Papers 2018-006, Human Capital and Economic Opportunity Working Group.
• James L. Kuhle & Eric C. Lin, 2018. "Evaluating Real Estate Mutual Fund Performance Using The Morningstar Upside/Downside Capture Ratio," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 12(1), pages 15-22.
• James L. Kuhle & Eric C. Lin, 2018. "An Evaluation Of Risk And Return Performance Measure Alternatives: Evidence From Real Estate Mutual Funds," Review of Business and Finance Studies, The Institute for Business and Finance Research, vol. 9(1), pages 1-11.
• Solikin M. Juhro & Dinh Hoang Bach Phan, 2018. "Can Economic Policy Uncertainty Predict Exchange Rate And Its Volatility? Evidence From Asean Countries," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(2), pages 1-18, October.
• Tingting Cheng & Jiti Gao & Oliver Linton, 2017. "Multi-step non- and semi-parametric predictive regressions for short and long horizon stock return prediction," Monash Econometrics and Business Statistics Working Papers 13/17, Monash University, Department of Econometrics and Business Statistics.
  • Tingting Cheng & Jiti Gao & Oliver Linton, 2018. "Multi-step non- and semi-parametric predictive regressions for short and long horizon stock return prediction," CeMMAP working papers CWP03/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Ramona Serrano Bautista & Leovardo Mata Mata, 2018. "Valor en Riesgo mediante un modelo heterocedástico condicional ?-estable," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 13(1), pages 1-26, Enero-Mar.
• Van Son Lai & Xiaoxia Ye & Lu Zhao, 2018. "Are Market Views on Banking Industry Useful for Forecasting Economic Growth?," Working Papers 2018-001, Department of Research, Ipag Business School.
• Maria Teresa Medeiros Garcia & Vítor Hugo Ferreira Carvalho, 2018. "A static approach to the Nelson-Siegel-Svensson model: an application for several negative yield cases," Working Papers REM 2018/35, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Salvador Ortí-Camallonga, 2018. "Constraints of Spanish Insolvency Law. A predictive bankruptcy model for Spanish industrial SMEs (2007-2015)," Working Papers 2018/01, Economics Department, Universitat Jaume I, Castellón (Spain).
• Hazem Krichene & Mhamed-Ali El-Aroui, 2018. "Agent-Based Simulation and Microstructure Modeling of Immature Stock Markets," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 493-511, March.
• Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun, 2018. "Short-Term Price Overreactions: Identification, Testing, Exploitation," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 913-940, April.
  • Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun, 2014. "Short-Term Price Overreactions: Identification, Testing, Exploitation," CESifo Working Paper Series 5066, CESifo.
  • Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun, 2014. "Short-Term Price Overreaction: Identification, Testing, Exploitation," Discussion Papers of DIW Berlin 1423, DIW Berlin, German Institute for Economic Research.
• Patrick Bielstein, 2018. "International asset allocation using the market implied cost of capital," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(1), pages 17-51, February.
• Hanen Ben Salah & Jan G. Gooijer & Ali Gannoun & Mathieu Ribatet, 2018. "Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(4), pages 419-436, November.
• Jules Clement Mba & Edson Pindza & Ur Koumba, 2018. "A differential evolution copula-based approach for a multi-period cryptocurrency portfolio optimization," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(4), pages 399-418, November.
• Felix Brinkmann & Olaf Korn, 2018. "Risk-adjusted option-implied moments," Review of Derivatives Research, Springer, vol. 21(2), pages 149-173, July.
• Mohammad Alomari & David. M. Power & Nongnuch Tantisantiwong, 2018. "Determinants of equity return correlations: a case study of the Amman Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 33-66, January.
• Benjamin Mögel & Benjamin R. Auer, 2018. "How accurate are modern Value-at-Risk estimators derived from extreme value theory?," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 979-1030, May.
• Dia Amadou, 2018. "Financial Inclusion and Poverty Reduction: Selected Approaches and Implications for Mali's Choice," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 4(4), pages 50-56, December.
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• Elyas Elyasiani & Luca Gambarelli & Silvia Muzzioli, 2018. "The properties of a skewness index and its relation with volatility and returns," Department of Economics 0133, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
• Wang, Hong & Forbes, Catherine S. & Fenech, Jean-Pierre & Vaz, John, 2020. "The determinants of bank loan recovery rates in good times and bad – New evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 875-897.
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• Bozhidar Nedev, 2018. "Short-term Predictability on the International Capital Markets – Momentum Effect," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 121-135, April.
• Mieczyslaw Adamowicz, 2018. "Long-Term Financial Forecasting As A Part Of Strategic Planning In Local Government Units," OLSZTYN ECONOMIC JOURNAL, University of Warmia and Mazury in Olsztyn, Faculty of Economic Sciences, vol. 13(4), pages 357-374, November.
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• Stefán B. Gunnlaugsson, 2018. "Trading Rules On A Small Stock Market," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 3(1), pages 46-55, March.
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• Caio Almeida & Kym Ardison & Daniela Kubudi & Axel Simonsen & José Vicente, 2018. "Forecasting Bond Yields with Segmented Term Structure Models," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 16(1), pages 1-33.
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• Èšole Alexandru - Adrian, 2018. "K-Means Clustering Approach for Improving Financial Forecasts," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 514-518, July.
• El Jebari, Ouael & Hakmaoui, Abdelati, 2018. "GARCH Family Models vs EWMA: Which is the Best Model to Forecast Volatility of the Moroccan Stock Exchange Market? || Modelos de la familia GARCH vs EWMA: ¿cuál es el mejor modelo para pronosticar la ," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 237-249, Diciembre.
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• Marcin Chlebus, 2018. "One-day-ahead forecast of state of turbulence based on today's economic situation," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 13(3), pages 357-389, September.
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• Vîntu, Denis & Negotei, Ioana-Alina, 2018. "Analysis of Financial Stability: The Construction of a New Composite Financial Stability Index for Euro Area," MPRA Paper 107625, University Library of Munich, Germany, revised 15 Apr 2018.
• Baydalinova, Aynur & Sandybayeva, Balzhan & Stukach, Victor, 2018. "Financial security of Kazakhstan: gross domestic product, public debt, budget deficit," MPRA Paper 73873, University Library of Munich, Germany, revised Jan 2019.
• Pincheira, Pablo & Hardy, Nicolas, 2018. "Forecasting Base Metal Prices with Commodity Currencies," MPRA Paper 83564, University Library of Munich, Germany.
• Reyes-García, Nallely Jacqueline & Venegas-Martínez, Francisco & Cruz-Aké, Salvador, 2018. "Un análisis comparativo entre GARCH-M, EGARCH y PJ-RS-EV para modelar la volatilidad de Índice de precios y cotizaciones de la Bolsa Mexicana de Valores [A Comparative Analysis among GARCH-M, EGARC," MPRA Paper 84304, University Library of Munich, Germany.
• Lee, David, 2018. "Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment," MPRA Paper 85575, University Library of Munich, Germany.
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• Mtiraoui, Abderraouf & GABSI, Feriel, 2018. "La finance entre l’éthique islamique, la réalité conventionnelle et croissance économique dans la région MENA [Finance Between Islamic Ethics, Conventional Reality and Economic Growth in the MENA R," MPRA Paper 88251, University Library of Munich, Germany.
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  • Hyeongwoo Kim & Kyunghwan Ko, 2019. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," Auburn Economics Working Paper Series auwp2019-03, Department of Economics, Auburn University.
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• Roy Trivedi, Smita, 2018. "Technical Analysis Strategies: Development of Heiken Ashi Stochastic," MPRA Paper 89594, University Library of Munich, Germany.
• Hyeongwoo Kim & Wen Shi, 2021. "Forecasting financial vulnerability in the USA: A factor model approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 439-457, April.
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  • Hyeongwoo Kim & Wen Shi, 2020. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," Auburn Economics Working Paper Series auwp2020-04, Department of Economics, Auburn University.
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• Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020. "Forecasting financial stress indices in Korea: a factor model approach," Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
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• H Peyton Young & Mark Paddrik, 2017. "How Safe are Central Counterparties in Derivatives Markets?," Economics Series Working Papers 826, University of Oxford, Department of Economics.
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• Hussain Chang, Bisharat & Ahmed Memon, Pervaiz & Ghumro, Niaz & Rehman, Mujeeb-ur-, 2018. "Are gold markets weak form efficient? Evidence from China, India and Russia," Sukkur IBA Journal of Management and Business, Sukkur IBA University, vol. 5(1), pages 52-65, Jan-June.
• Khalilzadeh, Javad & Heidari , Hassan & Feizi , Soleiman & Bashiri, Sahar, 2018. "Investigation of Producers Financial Challenging’s with Emphasis on the Role of Monetary Policy and the Banking Sector Credits: Application of DSGE Model," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 4(4), pages 61-90, March.
• Angelovska, Julijana & Ivanovski, Zoran, 2018. "Accuracy In Risk Estimation Based On Simple Sma And Ewma Models:Evidence From Macedonian Stock Market," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(1), pages 17-27.
• Kozuharov, Saso & Petkovski, Vladimir, 2018. "The Impact Of Social Transfers On Inequality Measured By Gini Index: The Example Of Macedonia," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(1), pages 49-61.
• Yufeng Chen & Wenqi Li & Xi Jin, 2018. "Volatility Spillovers between Crude Oil Prices and New Energy Stock Price in China," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 43-62, December.
• Wali ULLAH & Khadija Malik BARI, 2018. "The Term Structure of Government Bond Yields in an Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-28, September.
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• Sasipa Pojanavatee, 2018. "The Sensitivity of Thailand Corporate Bond Values to Interest Rate Changes," Proceedings of Business and Management Conferences 7608689, International Institute of Social and Economic Sciences.
• Esida Gila-Gourgoura & Eftychia Nikolaidou, 2018. "Credit Risk Determinants in the Vulnerable Economies of Europe: Evidence from the Italian Banking System," School of Economics Macroeconomic Discussion Paper Series 2018-08, School of Economics, University of Cape Town.
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• András Bebes & Dávid Tran & László Bebesi, 2018. "Optimizing the Hungarian Government Debt Portfolio," Proceedings of Economics and Finance Conferences 6910176, International Institute of Social and Economic Sciences.
• Galicia Palacios, Alejandro & Coria Páez, Ana Lilia. & Flores Ortega, Miguel., 2018. "Volatilidad estocástica del tipo de cambio, impacto y desequilibrios en la economía mexicana./Stochastic volatility of the exchange rate, impact and imbalances in the mexican economy," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 8(1), pages 35-52, enero-jun.
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• Nyman, Rickard & Kapadia, Sujit & Tuckett, David & Gregory, David & Ormerod, Paul & Smith, Robert, 2018. "News and narratives in financial systems: exploiting big data for systemic risk assessment," Bank of England working papers 704, Bank of England.
• Neumann, Tobias, 2018. "Mortgages: estimating default correlation and forecasting default risk," Bank of England working papers 708, Bank of England.
• Bardoscia, Marco & Bianconi, Ginestra & Ferrara, Gerardo, 2018. "Multiplex network analysis of the UK OTC derivatives market," Bank of England working papers 726, Bank of England, revised 10 Sep 2019.
• Karvik, Geir-Are & Noss, Joseph & Worlidge, Jack & Beale, Daniel, 2018. "The deeds of speed: an agent-based model of market liquidity and flash episodes," Bank of England working papers 743, Bank of England.
• Faria, Gonçalo & Verona, Fabio, 2018. "The equity risk premium and the low frequency of the term spread," Research Discussion Papers 7/2018, Bank of Finland.
• Tariq Aziz & Valeed Ahmad Ansari, 2018. "Are extreme negative returns priced in the Indian stock market?," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 18(1), pages 76-90, March.
• Kelly, Jane & Le Blanc, Julia & Lydon, Reamonn, 2018. "Pockets of risk in European Housing Markets: then and now," Research Technical Papers 12/RT/18, Central Bank of Ireland.
  • Kelly, Jane & Le Blanc, Julia & Lydon, Reamonn, 2019. "Pockets of risk in European housing markets: then and now," Working Paper Series 2277, European Central Bank.
  • Kelly, Jane & Le Blanc, Julia & Lydon, Reamonn, 2019. "Pockets of risk in European housing markets: then and now," ESRB Working Paper Series 87, European Systemic Risk Board.
• Cronin, David & Dunne, Peter G., 2019. "How effective are sovereign bond-backed securities as a spillover prevention device?," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 49-66.
  • Cronin, David & Dunne, Peter G., 2018. "How effective are sovereign bond-backed securities as a spillover prevention device?," ESRB Working Paper Series 66, European Systemic Risk Board.
  • Cronin, David & Dunne, Peter G., 2018. "How Effective are Sovereign Bond-Backed Securities as a Spillover Prevention Device," Research Technical Papers 4/RT/18, Central Bank of Ireland.
• Byrne, Stephen & Rice, Jonathan, 2018. "Non-Tariff Barriers and Goods Trade: a Brexit Impact Analysis," Research Technical Papers 6/RT/18, Central Bank of Ireland.
• Guglielmo Maria Caporale & Alex Plastun, 2019. "Price overreactions in the cryptocurrency market," Journal of Economic Studies, Emerald Group Publishing, vol. 46(5), pages 1137-1155, August.
  • Guglielmo Maria Caporale & Alex Plastun, 2018. "Price Overreactions in the Cryptocurrency Market," Discussion Papers of DIW Berlin 1718, DIW Berlin, German Institute for Economic Research.
  • Guglielmo Maria Caporale & Alex Plastun, 2018. "Price Overreactions in the Cryptocurrency Market," CESifo Working Paper Series 6861, CESifo.
• Guglielmo Maria Caporale & Alex Plastun, 2018. "On the Frequency of Price Overreactions," CESifo Working Paper Series 7011, CESifo.
• Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2019. "Bitcoin fluctuations and the frequency of price overreactions," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 109-131, June.
  • Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2018. "Bitcoin Fluctuations and the Frequency of Price Overreactions," CESifo Working Paper Series 7280, CESifo.
• Spencer Wheatley & Didier Sornette & Tobias Huber & Max Reppen & Robert N. Gantner, 2018. "Are Bitcoin Bubbles Predictable? Combining a Generalized Metcalfe's Law and the LPPLS Model," Swiss Finance Institute Research Paper Series 18-22, Swiss Finance Institute, revised Mar 2018.
• Jerome L Kreuser & Didier Sornette, 2018. "Bitcoin Bubble Trouble," Swiss Finance Institute Research Paper Series 18-24, Swiss Finance Institute, revised Jun 2018.
• Feng Zhou & Zhang Qun & Didier Sornette & Liu Jiang, 2018. "Cascading Logistic Regression Onto Gradient Boosted Decision Trees to Predict Stock Market Changes Using Technical Analysis," Swiss Finance Institute Research Paper Series 18-50, Swiss Finance Institute, revised Aug 2018.
• Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
  • Shihao Gu & Bryan Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," NBER Working Papers 25398, National Bureau of Economic Research, Inc.
  • Shihao Gu & Bryan T. Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," Swiss Finance Institute Research Paper Series 18-71, Swiss Finance Institute.
• Fiorentini, Gabriele & Sentana, Enrique, 2021. "New testing approaches for mean–variance predictability," Journal of Econometrics, Elsevier, vol. 222(1), pages 516-538.
  • Gabriele Fiorentini & Enrique Sentana, 2018. "New Testing Approaches for Mean-Variance Predictability," Working Papers wp2018_1814, CEMFI.
  • Fiorentini, Gabriele & Sentana, Enrique, 2019. "New testing approaches for mean-variance predictability," CEPR Discussion Papers 13426, C.E.P.R. Discussion Papers.
  • Gabriele Fiorentini & Enrique Sentana, 2019. "New testing approaches for mean-variance predictability," Working Paper series 19-01, Rimini Centre for Economic Analysis.
  • Gabriele Fiorentini & Enrique Sentana, 2019. "New testing approaches for mean-variance predictability," Econometrics Working Papers Archive 2019_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

2017

• Grønborg, Niels S. & Lunde, Asger & Timmermann, Allan & Wermers, Russ, 2021. "Picking funds with confidence," Journal of Financial Economics, Elsevier, vol. 139(1), pages 1-28.
  • Groenborg, Niels & Lunde, Asger & Timmermann, Allan G & Wermers, Russ, 2017. "Picking Funds with Confidence," CEPR Discussion Papers 11896, C.E.P.R. Discussion Papers.
  • Niels S. Grønborg & Asger Lunde & Allan Timmermann & Russ Wermers, 2017. "Picking Funds with Confidence," CREATES Research Papers 2017-13, Department of Economics and Business Economics, Aarhus University.
• Mikkel Bennedsen & Asger Lunde & Mikko S. Pakkanen, 2017. "Decoupling the short- and long-term behavior of stochastic volatility," CREATES Research Papers 2017-26, Department of Economics and Business Economics, Aarhus University.
• Martin M. Andreasen & Jens H. E. Christensen & Glenn D. Rudebusch, 2017. "Term Structure Analysis with Big Data," Working Paper Series 2017-21, Federal Reserve Bank of San Francisco.
  • Martin M. Andreasen & Jens H.E. Christensen & Glenn D. Rudebusch, 2017. "Term Structure Analysis with Big Data," CREATES Research Papers 2017-31, Department of Economics and Business Economics, Aarhus University.
• Jumadil Saputra & Suhal Kusairi & Nur Azura Sanusi, 2017. "Modeling the Premium and Contract Properties of Family Takaful (Islamic Life Insurance) نمذجة قسط وخصائص عقد التكافل الأسري (التأمين الإسلامي على الحياة)," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 30(2), pages 135-157, July.
• Kim, Hyeongwoo & Ko, Kyunghwan, 2020. "Improving forecast accuracy of financial vulnerability: PLS factor model approach," Economic Modelling, Elsevier, vol. 88(C), pages 341-355.
  • Hyeongwoo Kim & Kyunghwan Ko, 2017. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," Auburn Economics Working Paper Series auwp2017-03, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Kyunghwan Ko, 2019. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," Auburn Economics Working Paper Series auwp2019-03, Department of Economics, Auburn University.
  • Kim, Hyeongwoo & Ko, Kyunghwan, 2018. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," MPRA Paper 89449, University Library of Munich, Germany.
• Nikolaos Stoupos & Apostolos Kiohos, 2017. "Post-Communist Countries of the EU and the Euro: Dynamic Linkages between Exchange Rates," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 67(4), pages 511-538, December.
• Ormos Mihály & Timotity Dusán, 2017. "The Case of “Less is More”: Modelling Risk-Preference with Expected Downside Risk," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 17(2), pages 1-14, June.
  • Mihaly Ormos & Dusan Timotity, 2017. "The case of 'Less is more': Modelling risk-preference with Expected Downside Risk," Papers 1704.05332, arXiv.org.
• Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019. "Dynamic semiparametric models for expected shortfall (and Value-at-Risk)," Journal of Econometrics, Elsevier, vol. 211(2), pages 388-413.
  • Andrew J. Patton & Johanna F. Ziegel & Rui Chen, 2017. "Dynamic Semiparametric Models for Expected Shortfall (and Value-at-Risk)," Papers 1707.05108, arXiv.org.
• Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
  • Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
• Beutner, Eric & Heinemann, Alexander & Smeekes, Stephan, 2017. "A Justification of Conditional Confidence Intervals," Research Memorandum 023, Maastricht University, Graduate School of Business and Economics (GSBE).
  • Eric Beutner & Alexander Heinemann & Stephan Smeekes, 2017. "A Justification of Conditional Confidence Intervals," Papers 1710.00643, arXiv.org, revised Jan 2019.
• Doncho Donev, 2017. "Price bubbles and financial markets efficiency," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 115-131.
• Tom Roberts, 2017. "A Counterfactual Valuation of the Stock Index as a Predictor of Crashes," Staff Working Papers 17-38, Bank of Canada.
• Haas Ornelas, José Renato, 2019. "Expected currency returns and volatility risk premia," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 206-234.
  • José Renato Haas Ornelas, 2017. "Expected Currency Returns and Volatility Risk Premia," Working Papers Series 454, Central Bank of Brazil, Research Department.
• Ornelas, José Renato Haas & Mauad, Roberto Baltieri, 2019. "Volatility risk premia and future commodity returns," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 341-360.
  • José Renato Haas Ornelas & Roberto Baltieri Mauad, 2017. "Volatility Risk Premia and Future Commodity Returns," Working Papers Series 455, Central Bank of Brazil, Research Department.
• Pinar KAYA & Bulent GULOGLU, 2017. "Modeling and Forecasting the Markets Volatility and VaR Dynamics of Commodity," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 11(1), pages 9-49.
• Santiago Gamba & Oscar Jaulín & Angélica Lizarazo & Juan Carlos Mendoza & Paola Morales & Daniel Osorio & Eduardo Yanquen, 2017. "SYSMO I: A Systemic Stress Model for the Colombian Financial System," Borradores de Economia 1028, Banco de la Republica de Colombia.
• BALTES Nicolae & DRAGOE Alexandra-Gabriela-Maria, 2017. "Estimating The Return Of The Financial Titles Of The Companies From The Manufacturing Industry, Listed On The Bucharest Stock Exchange," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(3), pages 19-28, August.
• BRATIAN Vasile, 2017. "Portfolio Optimization - Application Of Sharpe Model Using Lagrange," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(5), pages 8-21, December.
• Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
• Dison, Will & Theodoridis, Konstantinos, 2017. "Do macro shocks matter for equities?," Bank of England working papers 692, Bank of England.
• Yin-Wong Cheung & Cho-Hoi Hui & Andrew Tsang, 2016. "The Renminbi Central Parity: An Empirical Investigation," Working Papers 102016, Hong Kong Institute for Monetary Research.
  • Cheung, Yin-Wong & Hui, Cho-Hoi & Tsang, Andrew, 2017. "The Renminbi central parity : An empirical investigation," BOFIT Discussion Papers 7/2017, Bank of Finland, Institute for Economies in Transition.
  • Yin-Wong Cheung & Cho-Hoi Hui & Andrew Tsang, 2016. "The Renminbi Central Parity: An Empirical Investigation," CESifo Working Paper Series 5963, CESifo.
• Gonçalo Faria & Fabio Verona, 2016. "Forecasting the equity risk premium with frequency-decomposed predictors," Working Papers de Economia (Economics Working Papers) 06, Católica Porto Business School, Universidade Católica Portuguesa.
  • Faria, Gonçalo & Verona, Fabio, 2017. "Forecasting the equity risk premium with frequency-decomposed predictors," Research Discussion Papers 1/2017, Bank of Finland.
• Hyeongwoo Kim & Kyunghwan Ko, 2017. "Improving Forecast Accuracy of Financial Vulnerability: Partial Least Squares Factor Model Approach," Working Papers 2017-14, Economic Research Institute, Bank of Korea.
• Yener Cos‚kun & A. Sevtap Selcuk-Kestel & Bilgi Yilmaz, 2017. "Diversification benefit and return performance of REITs using CAPM and Fama-French: Evidence from Turkey," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(4), pages 199-215, December.
• Ormos Mihály & Timotity Dusán, 2017. "The Case of “Less is More”: Modelling Risk-Preference with Expected Downside Risk," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 17(2), pages 1-14, June.
  • Mihaly Ormos & Dusan Timotity, 2017. "The case of 'Less is more': Modelling risk-preference with Expected Downside Risk," Papers 1704.05332, arXiv.org.
• Kraicová Lucie & Baruník Jozef, 2017. "Estimation of long memory in volatility using wavelets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-22, June.
  • Jozef Baruník & Lucie Kraicová, 2014. "Estimation of Long Memory in Volatility Using Wavelets," Working Papers IES 2014/33, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2014.
  • Kraicova, Lucie & Barunik, Jozef, 2015. "Estimation of long memory in volatility using wavelets," FinMaP-Working Papers 33, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
• Chong Terence Tai-Leung & Poon Ka-Ho, 2017. "A new recognition algorithm for “head-and-shoulders” price patterns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-18, December.
  • Chong, Terence Tai Leung & Poon, Ka-Ho, 2014. "A New Recognition Algorithm for “Head-and-Shoulders” Price Patterns," MPRA Paper 60825, University Library of Munich, Germany.
• Taylor, Nick, 2017. "Timing strategy performance in the crude oil futures market," Energy Economics, Elsevier, vol. 66(C), pages 480-492.
  • Nick Taylor, 2017. "Timing Strategy Performance in the Crude Oil Futures Market," Bristol Accounting and Finance Discussion Papers 17/7, School of Accounting and Finance, University of Bristol, UK.
• J. Daniel AromÍ, 2017. "Conventional Views and Asset Prices: What to Expect After Times of Extreme Opinions?," Journal of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 49-73, May.
  • J. Daniel Aromí, 2017. "Conventional views and asset prices: What to expect after times of extreme opinions," Journal of Applied Economics, Universidad del CEMA, vol. 20, pages 49-73, May.
  • Daniel José Aromí, 2016. "Conventional Views and Asset Prices: What to Expect After Times of Extreme Opinions?," Documentos de trabajo del Instituto Interdisciplinario de Economía Política (IIEP-BAIRES) 2016-15, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política (IIEP-BAIRES).
• Ke WU & Spencer WHEATLEY & Didier SORNETTE, 2017. "The British Pound on Brexit night: a natural experiment of market efficiency and real-time predictability," Swiss Finance Institute Research Paper Series 17-12, Swiss Finance Institute.
• Zhang Qun & Didier Sornette & Hao Zhang, 2017. "Anticipating Critical Transitions of Chinese Housing Markets," Swiss Finance Institute Research Paper Series 17-18, Swiss Finance Institute.
• Damian Smug & Peter Ashwin & Didier Sornette, 2017. "Predicting Financial Market Crashes Using Ghost Singularities," Swiss Finance Institute Research Paper Series 17-23, Swiss Finance Institute.
• Jerome L Kreuser & Didier Sornette, 2017. "Super-Exponential RE Bubble Model with Efficient Crashes," Swiss Finance Institute Research Paper Series 17-33, Swiss Finance Institute.
• Alexey Ivashchenko, 2017. "Credit Spreads, Daily Business Cycle, and Corporate Bond Returns Predictability," Swiss Finance Institute Research Paper Series 17-67, Swiss Finance Institute, revised Jan 2018.
• Hernández Arango, José Miguel & Carvajal-Serna, Luis Fernando, 2017. "Cobertura al riesgo ante la variabilidad hidrológica en una central hidráulica a filo de agua usando derivados climáticos," Revista Lecturas de Economía, Universidad de Antioquia - CIE, issue 87, pages 191-222, March.
• Fernando Corena, 2017. "Estimación del valor económico transferido al municipio de Montelibano por parte de la actividad de una empresa de explotación minera ante un escenario de cierre de actividades de la mina en el 2029," Revista CIFE, Universidad Santo Tomás, vol. 19(30), pages 79-100, July.
• Pablo Andrés Garay Rodriguez & Peter David Lowy Galvis, 2017. "Análisis de recomposición del portafolio accionario por sectores en Colombia basado en Valor en Riesgo entre el Q2 2013-Q2 2014 y Q2 2015-Q2 2016," Vniversitas Económica 015939, Universidad Javeriana - Bogotá.
• Juan Carlos Gutierrez Betancur, 2017. "Robust Estimation of beta and the hedging ratio in Stock Index Futures In the Integrated Latin American Market," Revista Ecos de Economía, Universidad EAFIT, vol. 21(44), pages 37-71, June.
• Grønborg, Niels S. & Lunde, Asger & Timmermann, Allan & Wermers, Russ, 2021. "Picking funds with confidence," Journal of Financial Economics, Elsevier, vol. 139(1), pages 1-28.
  • Niels S. Grønborg & Asger Lunde & Allan Timmermann & Russ Wermers, 2017. "Picking Funds with Confidence," CREATES Research Papers 2017-13, Department of Economics and Business Economics, Aarhus University.
  • Groenborg, Niels & Lunde, Asger & Timmermann, Allan G & Wermers, Russ, 2017. "Picking Funds with Confidence," CEPR Discussion Papers 11896, C.E.P.R. Discussion Papers.
• Adrian, Tobias & Capponi, Agostino & Fleming, Michael & Vogt, Erik & Zhang, Hongzhong, 2020. "Intraday market making with overnight inventory costs," Journal of Financial Markets, Elsevier, vol. 50(C).
  • Tobias Adrian & Agostino Capponi & Michael J. Fleming & Erik Vogt & Hongzhong Zhang, 2016. "Intraday market making with overnight inventory costs," Staff Reports 799, Federal Reserve Bank of New York.
  • Adrian, Tobias & Capponi, Agostino & Vogt, Erik & Zhang, Hongzhong, 2017. "Intraday Market Making with Overnight Inventory Costs," CEPR Discussion Papers 12245, C.E.P.R. Discussion Papers.
• Francesco Bianchi & Martin Lettau & Sydney C. Ludvigson, 2016. "Monetary Policy and Asset Valuation," NBER Working Papers 22572, National Bureau of Economic Research, Inc.
  • Bianchi, Francesco & Lettau, Martin & Ludvigson, Sydney, 2017. "Monetary Policy and Asset Valuation," CEPR Discussion Papers 12275, C.E.P.R. Discussion Papers.
  • Bianchi, Francesco & Lettau, Martin & Ludvigson, Sydney, 2018. "Monetary Policy and Asset Valuation," CEPR Discussion Papers 12671, C.E.P.R. Discussion Papers.
  • Francesco Bianchi, 2017. "Monetary Policy and Asset Valuation," 2017 Meeting Papers 500, Society for Economic Dynamics.
• Cukierman, Alex & Lustenberger, Thomas, 2017. "International evidence on professional interest rates forecasts: The impact of forecasting ability," CEPR Discussion Papers 12489, C.E.P.R. Discussion Papers.
  • Alex Cukierman & Thomas Lustenberger, 2018. "International Evidence on Professional Interest Rate Forecasts: The Impact of Forecasting Ability," Working Papers 2018-10, Swiss National Bank.
• Jean‐Philippe Bouchaud & Philipp Krüger & Augustin Landier & David Thesmar, 2019. "Sticky Expectations and the Profitability Anomaly," Journal of Finance, American Finance Association, vol. 74(2), pages 639-674, April.
  • Jean-Philippe Bouchaud & Philipp Krueger & Augustin Landier & David Thesmar, 2016. "Sticky Expectations and the Profitability Anomaly," Swiss Finance Institute Research Paper Series 16-60, Swiss Finance Institute.
  • Bouchaud, Jean-Philippe & Krueger, Philipp & Landier, Augustin & Thesmar, David, 2017. "Sticky Expectations and the Profitability Anomaly," CEPR Discussion Papers 12528, C.E.P.R. Discussion Papers.
• Mawuli Segnon & Mark Trede, 2018. "Forecasting market risk of portfolios: copula-Markov switching multifractal approach," The European Journal of Finance, Taylor & Francis Journals, vol. 24(14), pages 1123-1143, September.
  • Mawuli Segnon & Mark Trede, 2017. "Forecasting Market Risk of Portfolios: Copula-Markov Switching Multifractal Approach," CQE Working Papers 6617, Center for Quantitative Economics (CQE), University of Muenster.
• Guoshi Tong, 2017. "Market Timing under Limited Information: An Empirical Investigation in US Treasury Market," Annals of Economics and Finance, Society for AEF, vol. 18(2), pages 291-322, November.
• Afees A. Salisu & Umar B. Ndako, 2017. "Forecasting the return volatility of European equity markets under different market conditions:A GARCH-MIDAS approach," Working Papers 028, Centre for Econometric and Allied Research, University of Ibadan.
• Kyoung-SookMOON & Heejean KIM & Hongjoong KIM, 2017. "A Prediction Methodology for the Change of the Values of Financial Products," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(3), pages 197-210.
• Stefan SIMEONOV, 2017. "A Methodology For Trend Analysis Of Stock Exchange Activities, Based On Indicator Signals And Frequency Volatility," Economics 21, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 21-39.
• Стефан Симеонов, 2017. "Методика За Анализ На Тренда В Борсовата Активност, Базирана На Индикаторните Сигнали И Честотната Променливост," Economics 21, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 24-44.
• Svetlana Borovkova & Evgeny Garmaev & Philip Lammers & Jordi Rustige, 2017. "SenSR: A sentiment-based systemic risk indicator," DNB Working Papers 553, Netherlands Central Bank, Research Department.
• Xiao Xiao & Chen Zhou, 2017. "Entropy-based implied moments," DNB Working Papers 581, Netherlands Central Bank, Research Department.
• Kok, Christoffer & Mirza, Harun & Pancaro, Cosimo, 2019. "Macro stress testing euro area banks’ fees and commissions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 97-119.
  • Kok, Christoffer & Pancaro, Cosimo & Mirza, Harun, 2017. "Macro stress testing euro area banks' fees and commissions," Working Paper Series 2029, European Central Bank.
• Camba-Méndez, Gonzalo & Werner, Thomas, 2017. "The inflation risk premium in the post-Lehman period," Working Paper Series 2033, European Central Bank.
• Gerba, Eddie & Żochowski, Dawid, 2017. "Knightian uncertainty and credit cycles," Working Paper Series 2068, European Central Bank.
• Ivan Jaccard & Frank Smets, 2020. "Structural Asymmetries and Financial Imbalances in the Eurozone," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 73-102, April.
  • Jaccard, Ivan & Smets, Frank, 2017. "Structural asymmetries and financial imbalances in the eurozone," Working Paper Series 2076, European Central Bank.
  • Ivan Jaccard, 2019. "Structural Asymmetries and Financial Imbalances," 2019 Meeting Papers 988, Society for Economic Dynamics.
• André Tomfort, 2017. "Detecting Asset Price Bubbles: A Multifactor Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 46-55.
• Zaidi Isa & Nur Amalina Shafie, 2017. "A Stochastic Approach for Determining Profit Rate of Islamic Financing Products," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 154-163.
• Mustapha Ammari & Ghizlane Lakhnat, 2017. "Default-implied Asset Correlation: Empirical Study for Moroccan Companies," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 415-425.
• Zi-Yi Guo, 2017. "Order Flow and Exchange Rate Dynamics in Continuous Time: New Evidence from Martingale Regression," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 507-512.
• Mustapha Ammari & Ghizlane Lakhnati, 2017. "Loss Given Default Estimating by the Conditional Minimum Value," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 779-785.
• Hojatollah Atashi Golestani & Seyyed Mohammad Hosseini & Ehsan Mehrjoo, 2017. "Separating and Merging Cash Flows: Investigating Five-element Cash Flows Statement," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 54-61.
• Naliniprava Tripathy, 2017. "Forecasting Gold Price with Auto Regressive Integrated Moving Average Model," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 324-329.
• I. Made Suidarma & Yulia Indrawati & I. Gusti Nengah Darma Diatmika & I. Nyoman Anggaradana, 2017. "Financial System Vulnerability Indicators in Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 299-306.
• Vasile Bratian & Claudiu Opreana & Amelia Bucur, 2017. "Evaluation of the Stock Quote – Stochastic Approach, Market Efficiency and Technical Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 307-316.
• Chan, Konan & Li, Fengfei & Lin, Ji-Chai & Lin, Tse-Chun, 2017. "What do stock price levels tell us about the firms?," Journal of Corporate Finance, Elsevier, vol. 46(C), pages 34-50.
• Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 34-53.
  • Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," BERG Working Paper Series 119, Bamberg University, Bamberg Economic Research Group.
• Llacay, Bàrbara & Peffer, Gilbert, 2017. "Impact of value-at-risk models on market stability," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 223-256.
• Bernales, Alejandro & Chen, Louisa & Valenzuela, Marcela, 2017. "Learning and forecasts about option returns through the volatility risk premium," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 312-330.
• Huo, Rui & Ahmed, Abdullahi D., 2017. "Return and volatility spillovers effects: Evaluating the impact of Shanghai-Hong Kong Stock Connect," Economic Modelling, Elsevier, vol. 61(C), pages 260-272.
• Liu, Zhangxin (Frank) & Faff, Robert, 2017. "Hitting SKEW for SIX," Economic Modelling, Elsevier, vol. 64(C), pages 449-464.
• Galanti, Sébastien & Vaubourg, Anne Gaël, 2017. "Optimism bias in financial analysts' earnings forecasts: Do commissions sharing agreements reduce conflicts of interest?," Economic Modelling, Elsevier, vol. 67(C), pages 325-337.
  • Sébastien Galanti & Anne-Gaël Vaubourg, 2017. "Optimism bias in financial analysts' earnings forecasts: Do commissions sharing agreements reduce conflicts of interest?," Post-Print hal-01724257, HAL.
  • Sébastien Galanti & Anne-Gaël Vaubourg, 2017. "Optimism bias in financial analysts' earnings forecasts: Do commissions sharing agreements reduce conflicts of interest?," Working Papers hal-01724253, HAL.
  • Sébastien GALANTI & Anne-Gaël VAUBOURG, 2017. "Optimism bias in financial analysts' earnings forecasts: Do commissions sharing agreements reduce conflicts of interest?," LEO Working Papers / DR LEO 2493, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
• Ng, Kok Haur & Peiris, Shelton & Chan, Jennifer So-kuen & Allen, David & Ng, Kooi Huat, 2017. "Efficient modelling and forecasting with range based volatility models and its application," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 448-460.
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• Charles, Amélie & Darné, Olivier, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Energy Economics, Elsevier, vol. 67(C), pages 508-519.
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• Emil Asenov, 2017. "Model for Insurance Fraud Risk Assessment and Prevention," Godishnik na UNSS, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 47-59, December.
• H Peyton Young & Mark Paddrik, 2017. "How Safe are Central Counterparties in Derivatives Markets?," Economics Series Working Papers 826, University of Oxford, Department of Economics.
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• Igor Enicov & Emilian Gutuleac, 2017. "Modeling Activities Of Commercial Bank Through Petri Nets," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 325-334, July.
• Tim Xiao, 2017. "A New Model for Pricing Collateralized Financial Derivatives," Post-Print hal-01800559, HAL.
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• Mark Paddrik & H. Peyton Young, 2017. "How Safe are Central Counterparties in Derivatives Markets?," Working Papers 17-06, Office of Financial Research, US Department of the Treasury.
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• Tascón, María T. & Castaño, Francisco J., 2017. "Selection of Variables in Small Business Failure Analysis: Mean Selection vs. Median Selection || Selección de variables en el análisis de fracaso de empresas pequeñas: selección de medias frente a se," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 54-88, Diciembre.
• Austin Shelton, 2017. "The value of stop-loss, stop-gain strategies in dynamic asset allocation," Journal of Asset Management, Palgrave Macmillan, vol. 18(2), pages 124-143, March.
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• Casper Agaton, 2017. "Coal, Renewable, or Nuclear? A Real Options Approach to Energy Investments in the Philippines," International Journal of Sustainable Energy and Environmental Research, Conscientia Beam, vol. 6(2), pages 50-62, 06-2017.
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• Casper Agaton, 2017. "Coal, Renewable, or Nuclear? A Real Options Approach to Energy Investments in the Philippines," International Journal of Sustainable Energy and Environmental Research, Conscientia Beam, vol. 6(2), pages 50-62.
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• S, Suresh Kumar & V, Joseph James & S R, Shehnaz, 2017. "The dual index model - Empirical proof of an astute model that augurs stock prices across assorted sectors," MPRA Paper 109031, University Library of Munich, Germany, revised Feb 2017.
• CHIKHI, Mohamed, 2017. "Chocs exogènes et non linéarités dans les séries boursières: Application à la modélisation non paramétrique du cours de l'action Orange [Exogenous Shocks and nonlinearity in the stock exchange seri," MPRA Paper 76691, University Library of Munich, Germany, revised 2017.
• Alexandre, Michel & Antônio Silva Brito, Giovani & Cotrim Martins, Theo, 2017. "Default contagion among credit modalities: evidence from Brazilian data," MPRA Paper 76859, University Library of Munich, Germany.
• Terence Tai-Leung Chong, Bingqing Cao, Wing Keung Wong, 2017. "A Principal Component Approach to Measuring Investor Sentiment in Hong Kong," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 4(2), pages 237-247, October.
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• Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2017. "Investment in capital markets," MPRA Paper 77414, University Library of Munich, Germany.
• Egorova, Yana, 2017. "Инвестирование Денежных Средств В Условиях Экономического Кризиса В 2017 Году," MPRA Paper 77648, University Library of Munich, Germany.
• Jamalludin, Nadia, 2017. "Risk and Performance of SapuraKencana Petroleum Berhad," MPRA Paper 78422, University Library of Munich, Germany.
• Jamalludin, Nadia, 2017. "Risk and Performance of SapuraKencana Petroleum Berhad," MPRA Paper 78423, University Library of Munich, Germany.
• Sofi, Farah Nuramalina, 2017. "The Relationship of RHB Bank Berhad’s Profitability with Leverage and Size (Total Asset)," MPRA Paper 78499, University Library of Munich, Germany.
• Senarathne, Chamil W & Jayasinghe, Prabhath, 2017. "Information Flow Interpretation of Heteroskedasticity for Capital Asset Pricing: An Expectation-based View of Risk," MPRA Paper 78771, University Library of Munich, Germany, revised 04 Apr 2017.
• FERROUHI, El Mehdi, 2017. "Determinants of bank deposits in Morocco," MPRA Paper 79075, University Library of Munich, Germany.
• Quaas, Georg, 2017. "Irrungen und Wirrungen im Umfeld der Geldtheorie: Wohin einseitige Darstellungen der Zentralbanken führen [Aberrations and confusions of the theory of money: Where ambiguous formulations lead to]," MPRA Paper 79735, University Library of Munich, Germany.
• Bukvić, Rajko & Pavlović, Radica & Gajić, Aleksandar, 2017. "Static and Dynamic Indicators in the Analysis of Internal Sources of Companies’ Investments Financing," MPRA Paper 79810, University Library of Munich, Germany, revised 2017.
• Parker, Edgar, 2017. "The Entropic Linkage between Equity and Bond Market Dynamics," MPRA Paper 80036, University Library of Munich, Germany.
• Lindblad, Annika, 2017. "Sentiment indicators and macroeconomic data as drivers for low-frequency stock market volatility," MPRA Paper 80266, University Library of Munich, Germany.
• Bell, Peter, 2017. "Example of a Rising NPV Profile for a Mining Project," MPRA Paper 81353, University Library of Munich, Germany.
• Harri Pönkä, 2018. "Sentiment and sign predictability of stock returns," Economics Bulletin, AccessEcon, vol. 38(3), pages 1676-1684.
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• Xin Jin & John M. Maheu & Qiao Yang, 2019. "Bayesian parametric and semiparametric factor models for large realized covariance matrices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 641-660, August.
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• Agaton, Casper, 2017. "Real Options Analysis of Renewable Energy Investment Scenarios in the Philippines," MPRA Paper 83478, University Library of Munich, Germany.
• Casper Agaton, 2017. "Coal, Renewable, or Nuclear? A Real Options Approach to Energy Investments in the Philippines," International Journal of Sustainable Energy and Environmental Research, Conscientia Beam, vol. 6(2), pages 50-62.
  • Agaton, Casper, 2017. "Coal, Renewable, or Nuclear? A Real Options Approach to Energy Investments in the Philippines," MPRA Paper 83798, University Library of Munich, Germany.
• Duc Khuong Nguyen & Thomas Walther, 2020. "Modeling and forecasting commodity market volatility with long‐term economic and financial variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 126-142, March.
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  • Thomas Walther & Duc Khuong Nguyen, 2018. "Modeling and Forecasting Commodity Market Volatility with Long-term Economic and Financial Variables," Working Papers on Finance 1824, University of St. Gallen, School of Finance.
• Tim Xiao, 2017. "A New Model for Pricing Collateralized Financial Derivatives," Post-Print hal-01800559, HAL.
  • Xiao, Tim, 2017. "A New Model for Pricing Collateralized Financial Derivatives," MPRA Paper 87088, University Library of Munich, Germany.
  • Tim Xiao, 2018. "A New Model for Pricing Collateralized Financial Derivatives," Papers 1805.11981, arXiv.org.
  • Xiao, Tim, 2017. "A New Model for Pricing Collateralized Financial Derivatives," SocArXiv fvdzh, Center for Open Science.
• Olkhov, Victor, 2017. "Quantitative Description of Financial Transactions and Risks," MPRA Paper 87316, University Library of Munich, Germany.
• Ekong, Christopher N. & Onye, Kenneth U., 2017. "Application of Garch Models to Estimate and Predict Financial Volatility of Daily Stock Returns in Nigeria," MPRA Paper 88309, University Library of Munich, Germany.
• Ayanda Sikhosana & Goodness C. Aye, 2017. "Asymmetric Volatility Effects between the Real Exchange Rate and Stock Prices in South Africa," Working Papers 201721, University of Pretoria, Department of Economics.
• Petr Makovsky, 2017. "The Value of the Firm in Dependence on Technological Shocks – the Czech Republic Case," ACTA VSFS, University of Finance and Administration, vol. 11(1), pages 45-60.
• Petr Houdek & Petr Koblovský & Jan Plaček & Luboš Smrčka, 2017. "Causality Illusion and Overconfidence in Predicting (Quasi)Stochastic Financial Events [Iluze kauzality a nadměrná důvěra ve schopnost predikce (kvazi)náhodných finančních událostí]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2017(1), pages 51-63.
• Ján Malega & Roman Horváth, 2017. "Financial Stress in the Czech Republic: Measurement and Effects on the Real Economy," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(3), pages 257-268.
• Voraprapa Nakavachara & Nuarpear Lekfuangfu, 2017. "Predicting the Present Revisited: The Case of Thailand," PIER Discussion Papers 70, Puey Ungphakorn Institute for Economic Research.
• Leslie G. Manison & Savvakis C. Savvides, 2017. "Neglect Private Debt at the Economy’s Peril: Applying Balance Sheet Recession Analysis to the Post Bail-in Cyprus Economy," Development Discussion Papers 2017-06, JDI Executive Programs.
• Savvakis C. Savvides, 2017. "Private debt is the problem: Why the economic recovery of Cyprus remains an elusive and distant dream," Development Discussion Papers 2017-17, JDI Executive Programs.
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• Savvakis C. Savvides, 2017. "Private debt is the problem: Why the economic recovery of Cyprus remains an elusive and distant dream," Development Discussion Papers 2017-17, JDI Executive Programs.
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• Alain Kabundi & Asithandile Mbelu, 2021. "Estimating a time-varying financial conditions index for South Africa," Empirical Economics, Springer, vol. 60(4), pages 1817-1844, April.
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• Francesco Bianchi & Martin Lettau & Sydney C. Ludvigson, 2016. "Monetary Policy and Asset Valuation," NBER Working Papers 22572, National Bureau of Economic Research, Inc.
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• Andreea Costea, 2017. "A Quantitative Approach to Credit Risk Management in the Underwriting Process for the Retail Portfolio," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 20(63), pages 157-186, March.
• Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2017. "Everything you always wanted to know about bitcoin modelling but were afraid to ask. Part 2," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 5-28.
• Saha, Atanu & Rinaudo, Alex, 2017. "Downside Risk Protection of Retirement Assets: A New Approach," Journal of Financial Transformation, Capco Institute, vol. 45, pages 111-120.
• Freeman, Andrew & Karagiannidis, Iordanis & Wilford, D. Sykes, 2017. "The Power of “Negative Beta”: Why Every Portfolio Should Include Private Equity," Journal of Financial Transformation, Capco Institute, vol. 45, pages 101-110.
• Mihalina, Emil & Krivicic, Ivan & Antunovic, Tihomir, 2017. "Winter Saeculum," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 8(1), pages 39-52.
• Nicu MARCU & Carmen Elena DOBROTA & Raluca ANTONEAC (CALIN), 2017. "An Investigation of the Day-of-the-week Effect in Conditional Variance at the Bucharest Stock Exchange," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 124-134, June.
• Doojin RYU & Hyein SHIM, 2017. "Intraday Dynamics of Asset Returns, Trading Activities, and Implied Volatilities: A Trivariate GARCH Framework," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 45-61, June.
• Krzysztof DRACHAL, 2017. "Volatility Clustering, Leverage Effects and Risk-Return Tradeoff in the Selected Stock Markets in the CEE Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 37-53, September.
• Dan Gabriel ANGHEL, 2017. "Intraday Market Efficiency for a Typical Central and Eastern European Stock Market: The Case of Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 88-109, September.
• Nanthakumar LOGANATHAN & Suraya ISMAIL & Dalia STREIMIKIENE & Asan Ali Golam HASSAN & Edmundas Kazimieras ZAVADSKAS & Abbas MARDANI, 2017. "Tax Reform, Inflation, Financial Development And Economic Growth In Malaysia," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 152-165, December.
• Andrey Kudryavtsev & Shosh Shahrabani & Yaniv Azoulay, 2017. "Frequency of Adjusting Asset Allocations in the Life-Cycle Pension Model: When Doing More Is Not Necessarily Better," Bulletin of Applied Economics, Risk Market Journals, vol. 4(1), pages 13-33.
• Michael Day & Mark Diamond & Jeff Card & Jake Hurd & Jianping Xu, 2017. "GARCH model and fat tails of the Chinese stock market returns - New evidences," Journal of Risk & Control, Risk Market Journals, vol. 4(1), pages 43-49.
• Priviledge Cheteni, 2017. "Stock Market Volatility Using GARCH Models: Evidence from South Africa and China Stock Markets," Journal of Economics and Behavioral Studies, AMH International, vol. 8(6), pages 237-245.
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• Constantin ANGHELACHE & Madalina-Gabriela ANGHEL & Gyorgy BODO, 2017. "Theoretical Aspects Of The Role Of Information In The Process Of Decisions/Risks Modeling," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(6), pages 102-111, June.
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• Davide De Gaetano, 2017. "A Bootstrap Bias Correction Of Long Run Fourth Order Moment Estimation In The Cusum Of Squares Test," Departmental Working Papers of Economics - University 'Roma Tre' 0220, Department of Economics - University Roma Tre.
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• Amandha Ganegoda & John Evans, 2017. "The Australian retirement lottery: A system failure," Australian Journal of Management, Australian School of Business, vol. 42(1), pages 3-31, February.
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• Santos, André Alves Portela & Ferreira, Alexandre R., 2017. "On the choice of covariance specifications for portfolio selection problems," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(1), May.
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• Simone Kruse & Thomas Tischer & Timo Wittig, 2017. "A New Empirical Investigation Of The Platinum Spot Returns," Journal of Smart Economic Growth, , vol. 2(2), pages 141-148, September.
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• Macías Villalba, Gloria Inés, 2017. "Pérdidas inesperadas por riesgo operativo en una entidad financiera con Teoría de Cópulas / Unexpected Losses for Operational Risk in a Financial Institution with Copula Theory," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 7(2), pages 237-268, julio-dic.
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• Hubert Wisniewski, 2017. "Panelowa weryfikacja wplywu zmiennych makroekonomicznych na indeksy gieldowe," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 15(66), pages 162-177.
• Yu-Chin Hsu & Hsiou-Wei Lin & Kendro Vincent, 2017. "Analyzing the Performance of Multi-Factor Investment Strategies under Multiple Testing Framework," IEAS Working Paper : academic research 17-A001, Institute of Economics, Academia Sinica, Taipei, Taiwan.
• Boryana Bogdanova & Bozhidar Nedev, 2017. "Changes in Temporal Patterns of the Momentum Effect in Times of Turmoil: Evidence from the Bulgarian Stock," Bulgarian Economic Papers bep-2017-11, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Dec 2017.
• David Haab & Thomas Nitschka, 2017. "Predicting returns on asset markets of a small, open economy and the influence of global risks," Working Papers 2017-14, Swiss National Bank.
• Dimitrios Lyridis & Nikolaos Manos & Panayotis Zacharioudakis & Athanassios Pappas & Aristidis Mavris, 2017. "Measuring Tanker Market Future Risk with the use of FORESIM," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(1), pages 38-53, January-M.
• Umit Bulut, 2017. "Financial Conditions Index as a Leading Indicator of Business Cycles in Turkey," Contributions to Economics, in: Ümit Hacioğlu & Hasan Dinçer (ed.), Global Financial Crisis and Its Ramifications on Capital Markets, pages 225-239, Springer.
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• Hanxiong Zhang & Robert Hudson & Hugh Metcalf & Viktor Manahov, 2017. "Investigation of institutional changes in the UK housing market using structural break tests and time-varying parameter models," Empirical Economics, Springer, vol. 53(2), pages 617-640, September.
• Fabian Lutzenberger & Benedikt Gleich & Herbert G. Mayer & Christian Stepanek & Andreas W. Rathgeber, 2017. "Metals: resources or financial assets? A multivariate cross-sectional analysis," Empirical Economics, Springer, vol. 53(3), pages 927-958, November.
• Hakan Er & Adnan Hushmat, 2017. "The application of technical trading rules developed from spot market prices on futures market prices using CAPM," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 7(3), pages 313-353, December.
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• Switzer, Lorne N. & Tahaoglu, Cagdas & Zhao, Yun, 2017. "Volatility measures as predictors of extreme returns," Review of Financial Economics, Elsevier, vol. 35(C), pages 1-10.
  • Lorne N. Switzer & Cagdas Tahaoglu & Yun Zhao, 2017. "Volatility measures as predictors of extreme returns," Review of Financial Economics, John Wiley & Sons, vol. 35(1), pages 1-10, November.
• Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 34-53.
  • Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," BERG Working Paper Series 119, Bamberg University, Bamberg Economic Research Group.
• Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," University of Göttingen Working Papers in Economics 326, University of Goettingen, Department of Economics.
• Luiz Félix & Roman Kräussl & Philip Stork, 2020. "Implied volatility sentiment: a tale of two tails," Quantitative Finance, Taylor & Francis Journals, vol. 20(5), pages 823-849, May.
  • Philip Stork & Luiz Felix & Roman Kraussl, 2017. "Implied Volatility Sentiment: A Tale of Two Tails," Tinbergen Institute Discussion Papers 17-002/IV, Tinbergen Institute, revised 26 Jan 2018.
  • Felix, Luiz & Kräussl, Roman & Stork, Philip, 2017. "Implied volatility sentiment: A tale of two tails," CFS Working Paper Series 565, Center for Financial Studies (CFS).
• Reimers, Benjamin, 2017. "Momentumeffekt: Eine empirische Analyse der DAXsector Indizes des deutschen Prime Standards," Wismar Discussion Papers 01/2017, Hochschule Wismar, Wismar Business School.
• Schlütter, Sebastian, 2017. "Scenario-based capital requirements for the interest rate risk of insurance companies," ICIR Working Paper Series 28/17, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
• Han, Liyan & Xu, Yang & Yin, Libo, 2017. "Does investor attention matter? The attention-return relation in gold futures market," Economics Discussion Papers 2017-37, Kiel Institute for the World Economy (IfW Kiel).
• Schasfoort, Joeri & Stockermans, Christopher, 2017. "Fundamentals unknown: Momentum, mean-reversion and price-to-earnings trading in an artificial stock market," Economics Discussion Papers 2017-63, Kiel Institute for the World Economy (IfW Kiel).
• Demary, Markus, 2017. "IW Financial Expert Survey: 2. Quartal 2017," IW-Reports 12/2017, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
• Demary, Markus, 2017. "IW Financial Expert Survey: 3. Quartal 2017," IW-Reports 22/2017, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
• Demary, Markus, 2017. "IW Financial Expert Survey: 4. Quartal 2017," IW-Reports 31/2017, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
• Reinhard H. Schmidt, 2018. "Microfinance – Once and Today," Credit and Capital Markets, Credit and Capital Markets, vol. 51(2), pages 183-203.
  • Schmidt, Reinhard H., 2017. "Microfinance - once and today," SAFE White Paper Series 48, Leibniz Institute for Financial Research SAFE.
• Khalifa, Ahmed & Caporin, Massimiliano & Costola, Michele & Hammoudeh, Shawkat, 2017. "Systemic risk for financial institutions of major petroleum-based economies: The role of oil," SAFE Working Paper Series 172, Leibniz Institute for Financial Research SAFE.

2016

• Yuri Biondi & Simone Righi, 2016. "What does the financial market pricing do? A simulation analysis with a view to systemic volatility, exuberance and vagary," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 11(2), pages 175-203, October.
  • Yuri Biondi & Simone Righi, 2013. "What does the financial market pricing do? A simulation analysis with a view to systemic volatility, exuberance and vagary," Papers 1312.7460, arXiv.org.
• Jeremiah Green & John R. M. Hand & X. Frank Zhang, 2016. "Errors and questionable judgments in analysts’ DCF models," Review of Accounting Studies, Springer, vol. 21(2), pages 596-632, June.
• Alexander Hölzl & Sebastian Lobe, 2016. "Predicting above-median and below-median growth rates," Review of Managerial Science, Springer, vol. 10(1), pages 105-133, January.
• Alexander Hölzl & Sebastian Lobe, 2016. "Predicting above-median and below-median growth rates," Review of Managerial Science, Springer, vol. 10(1), pages 105-133, January.
• Michele Caivano & Andrew Harvey & Alessandra Luati, 2016. "Robust time series models with trend and seasonal components," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(1), pages 99-120, March.
• Lorenzo Ricci & Vincenzo Verardi & Catherine Vermandele, 2016. "A Highly Efficient Regression Estimator for Skewed and/or Heavy-tailed Distributed Errors," Working Papers 19, European Stability Mechanism.
• Nikolaos Antonakakis & Vassilios Babalos & Clement Kyei, 2016. "Predictability of sustainable investments and the role of uncertainty: evidence from a non-parametric causality-in-quantiles test," Applied Economics, Taylor & Francis Journals, vol. 48(48), pages 4655-4665, October.
  • Nikolaos Antonakakis & Vassilios Babalos & Clement Kyei, 2015. "Predictability of Sustainable Investments and the Role of Uncertainty: Evidence from a Non-Parametric Causality-in-Quantiles Test," Working Papers 201576, University of Pretoria, Department of Economics.
• Ender Demir & Ka Wai Terence Fung & Zhou Lu, 2016. "Capital Asset Pricing Model and Stochastic Volatility: A Case Study of India," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(1), pages 52-65, January.
  • Fung, Ka Wai Terence & Demir, Ender & Zhou, Lu, 2014. "Capital Asset Pricing Model and Stochastic Volatility: A Case study of India," MPRA Paper 56180, University Library of Munich, Germany.
• Stavros Degiannakis & Alexandra Livada, 2016. "Evaluation of realized volatility predictions from models with leptokurtically and asymmetrically distributed forecast errors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(5), pages 871-892, April.
  • Degiannakis, Stavros & Livada, Alexandra, 2013. "Evaluation of Realized Volatility Predictions from Models with Leptokurtically and Asymmetrically Distributed Forecast Errors," MPRA Paper 67968, University Library of Munich, Germany.
• Rutger-Jan Lange & Andre Lucas & Arjen H. Siegmann, 2016. "Score-Driven Systemic Risk Signaling for European Sovereign Bond Yields and CDS Spreads," Tinbergen Institute Discussion Papers 16-064/IV, Tinbergen Institute.
• Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2016. "Time-varying Combinations of Bayesian Dynamic Models and Equity Momentum Strategies," Tinbergen Institute Discussion Papers 16-099/III, Tinbergen Institute.
• Allen, D.E. & McAleer, M.J. & Singh, A.K., 2016. "A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies," Econometric Institute Research Papers EI2016-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • David E. Allen & Michael McAleer & Abhay K. Singh, 2017. "A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies," Tinbergen Institute Discussion Papers 17-013/III, Tinbergen Institute.
  • David E. Allen & Michael McAleer & Abhay K. Singh, 2016. "A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies," Documentos de Trabajo del ICAE 2017-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
• EMAMVERDI, Ghodratollah & KARIMI, Mohammad Sharif & KHAKIE, Sima & KARIMI, Mojtaba, 2016. "Forecasting The Total Index Of Tehran Stock Exchange," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 20(1), pages 54-68.
• Goodness C. Aye Author-Email: goodness.aye@gmail.com & Rangan Gupta, 2016. "Does Debt Ceiling and Government Shutdown Help in Forecasting the US Equity Risk Premium?," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 63(3), pages 273-291, June.
  • Goodness C. Aye & Frederick W. Deale & Rangan Gupta, 2014. "Does Debt Ceiling and Government Shutdown Help in Forecasting the US Equity Risk Premium?," Working Papers 201422, University of Pretoria, Department of Economics.
• Marcin Chlebus, 2016. "One-Day Prediction of State of Turbulence for Portfolio. Models for Binary Dependent Variable," Working Papers 2016-01, Faculty of Economic Sciences, University of Warsaw.
• Chlebus Marcin, 2017. "EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk," Central European Economic Journal, Sciendo, vol. 3(50), pages 01-25, December.
  • Marcin Chlebus, 2016. "EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk," Working Papers 2016-06, Faculty of Economic Sciences, University of Warsaw.
• Tim Bollerslev & Andrew J. Patton & Wenjing Wang, 2016. "Daily House Price Indices: Construction, Modeling, and Longer‐run Predictions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1005-1025, September.
  • Tim Bollerslev & Andrew J. Patton & Wang Wenjing, 2013. "Daily House Price Indexes: Construction, Modeling, and Longer-Run Predictions," Working Papers 13-29, Duke University, Department of Economics.
  • Tim Bollerslev & Andrew J. Patton & Wenjing Wang, 2015. "Daily House Price Indices: Construction, Modeling, and Longer-Run Predictions," CREATES Research Papers 2015-02, Department of Economics and Business Economics, Aarhus University.
• Michele Costola & Massimiliano Caporin, 2016. "Rational Learning For Risk-Averse Investors By Conditioning On Behavioral Choices," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-26, March.
  • Michele Costola & Massimiliano Caporin, 2015. "Rational learning for risk-averse investors by conditioning on behavioral choices," Working Papers 2015:16, Department of Economics, University of Venice "Ca' Foscari".
• Michele Costola & Massimiliano Caporin, 2016. "Rational Learning For Risk-Averse Investors By Conditioning On Behavioral Choices," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-26.
  • Michele Costola & Massimiliano Caporin, 2015. "Rational learning for risk-averse investors by conditioning on behavioral choices," Working Papers 2015:16, Department of Economics, University of Venice "Ca' Foscari".
• Han, Xing & Li, Youwei, 2017. "Can investor sentiment be a momentum time-series predictor? Evidence from China," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 212-239.
  • Han, Xing & Li, Youwei, 2016. "Can Investor Sentiment Be a Momentum Time-Series Predictor? Evidence from China," RIEI Working Papers 2016-07, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration, revised 12 Jan 2017.
• Boda, Daniel & Luptak, Martin & Pitlik, Laszlo & Szucs, Gabor & Takacs, Istvan, 2016. "Prediction of Insolvency of Hungarian Micro Enterprises," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2016), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 8-9 September 2016, pages 352-359, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
• Böing, Tobias & Stadtmann, Georg, 2016. "Money growth and aggregate stock returns," Discussion Papers 390, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
• Kristoufek, Ladislav & Vošvrda, Miloslav S., 2016. "Herding, minority game, market clearing and efficient markets in a simple spin model framework," FinMaP-Working Papers 68, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
• Berdin, Elia, 2016. "Interest rate risk, longevity risk and the solvency of life insurers," ICIR Working Paper Series 23/16, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
• Bätje, Fabian & Menkhoff, Lukas, 2016. "Predicting the equity premium via its components," VfS Annual Conference 2016 (Augsburg): Demographic Change 145789, Verein für Socialpolitik / German Economic Association.
• Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2017. "Comment on: Nonparametric Tail Risk, Stock Returns, and the Macroeconomy," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(3), pages 377-387.
  • Lorenzo CAMPONOVO & Olivier SCAILLET & Fabio TROJANI, 2016. "Comments on: Nonparametric Tail Risk, Stock Returns and the Macroeconomy," Swiss Finance Institute Research Paper Series 16-41, Swiss Finance Institute.
  • Scaillet, Olivier & Trojani, Fabio & Camponovo, Lorenzo, 2016. "Comments on : Nonparametric Tail Risk, Stock Returns and the Macroeconomy," Working Papers unige:84999, University of Geneva, Geneva School of Economics and Management.
• Leoni Eleni Oikonomikou, 2016. "Forecasting the Market Risk Premium with Artificial Neural Networks," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 202, Courant Research Centre PEG.
• Leoni Eleni Oikonomikou, 2016. "Comparing the market risk premia forecasts in JSE and NYSE equity markets," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 203, Courant Research Centre PEG.
• Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
• Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Post-Print halshs-01339815, HAL.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01339815, HAL.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are Critical Slowing Down Indicators Useful to Detect Financial Crises?," Post-Print halshs-01505202, HAL.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are Critical Slowing Down Indicators Useful to Detect Financial Crises?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01505202, HAL.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Documents de travail du Centre d'Economie de la Sorbonne 16045, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Documents de travail du Centre d'Economie de la Sorbonne 16045r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2016.
• Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016. "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Documents de travail du Centre d'Economie de la Sorbonne 16046r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
  • Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016. "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01339826, HAL.
  • Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016. "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Post-Print halshs-01339826, HAL.
  • Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016. "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Documents de travail du Centre d'Economie de la Sorbonne 16046, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01339815, HAL.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are Critical Slowing Down Indicators Useful to Detect Financial Crises?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01505202, HAL.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are Critical Slowing Down Indicators Useful to Detect Financial Crises?," Post-Print halshs-01505202, HAL.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Documents de travail du Centre d'Economie de la Sorbonne 16045, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Documents de travail du Centre d'Economie de la Sorbonne 16045r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2016.
  • Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Post-Print halshs-01339815, HAL.
• Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016. "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Documents de travail du Centre d'Economie de la Sorbonne 16046r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
  • Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016. "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Post-Print halshs-01339826, HAL.
  • Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016. "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01339826, HAL.
  • Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016. "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Documents de travail du Centre d'Economie de la Sorbonne 16046, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Thesmar , David & Bouchaud, Jean-Philippe & Krueger , Philipp & Landier , Augustin, 2016. "Sticky Expectations and Stock Market Anomalies," HEC Research Papers Series 1136, HEC Paris.
  • Jean-Philippe Bouchaud & Philipp Krueger & Augustin Landier & David Thesmar, 2016. "Sticky Expectations and Stock Market Anomalies," Working Papers hal-01993418, HAL.
• Lunina, Veronika, 2016. "Joint Modelling of Power Price, Temperature, and Hydrological Balance with a View towards Scenario Analysis," Working Papers 2016:30, Lund University, Department of Economics.
• Valseth, Siri, 2016. "Informed trading in Hybrid Bond Markets," UiS Working Papers in Economics and Finance 2016/13, University of Stavanger.
• Alexander Porshnev & Valeria Lakshina & Ilya Redkin, 2016. "Could Emotional Markers in Twitter Posts Add Information to the Stock Market Armax-Garch Model," HSE Working papers WP BRP 54/FE/2016, National Research University Higher School of Economics.
• Yin-Wong Cheung & Cho-Hoi Hui & Andrew Tsang, 2016. "The Renminbi Central Parity: An Empirical Investigation," CESifo Working Paper Series 5963, CESifo.
  • Yin-Wong Cheung & Cho-Hoi Hui & Andrew Tsang, 2016. "The Renminbi Central Parity: An Empirical Investigation," Working Papers 102016, Hong Kong Institute for Monetary Research.
  • Cheung, Yin-Wong & Hui, Cho-Hoi & Tsang, Andrew, 2017. "The Renminbi central parity : An empirical investigation," BOFIT Discussion Papers 7/2017, Bank of Finland, Institute for Economies in Transition.
• Wolfgang Karl Härdle & Phoon Kok Fai & David Lee Kuo Chuen, 2016. "Credit Rating Score Analysis," SFB 649 Discussion Papers SFB649DP2016-046, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
• Lukas Borke & Wolfgang K. Härdle, 2016. "Q3-D3-Lsa," SFB 649 Discussion Papers SFB649DP2016-049, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
• Chao, Shih-Kang & Härdle, Wolfgang K. & Yuan, Ming, 2021. "Factorisable Multitask Quantile Regression," Econometric Theory, Cambridge University Press, vol. 37(4), pages 794-816, August.
  • Shih-Kang Chao & Wolfgang K. Härdle & Ming Yuan, 2016. "Factorisable Multi-Task Quantile Regression," SFB 649 Discussion Papers SFB649DP2016-057, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Chao, Shih-Kang & Härdle, Wolfgang Karl & Yuan, Ming, 2020. "Factorisable Multitask Quantile Regression," IRTG 1792 Discussion Papers 2020-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
• Ahmed Salhin & Mo Sherif & Edward Jones, 2016. "Investor Sentiment and Sector Returns," CFI Discussion Papers 1602, Centre for Finance and Investment, Heriot Watt University.
• Jeffry Haber, 2016. "Spliced Correlation: Theory Development," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 10(1), pages 65-69.
• Jedediah Baker, 2016. "Forecasting Volume And Price Impact Of Earnings Surprises Using Google Insights," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 10(4), pages 53-62.
• Eduardo Sandoval & Macarena Soto, 2016. "Integrated Markets Of Latin American: A Cointegration Analysis, Mercado Integrado Latinoamericano: Un Analisis De Cointegracion," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, vol. 9(2), pages 1-17.
• Ozge KORKMAZ & Esref Savas BASCI & SuleymanSerdar KARACA, 2016. "Macroeconomic Variables Affecting Bist30 Index Value in Turkey," International Conference on Economic Sciences and Business Administration, Spiru Haret University, vol. 3(1), pages 201-207, October.
• De la Torre, Oscar & Galeana, Evaristo & Aguilasocho, Dora, 2016. "The Use Of The Sustainable Investment Against The Broad Market One. A First Test In The Mexican Stock Market / El Uso De La Inversión Sustentable En Comparación De La Inversión Convencional. Una Prime," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 22(3), pages 117-123.
• Hiroshi Fujiki & Charles M. Kahn, 2016. "Choice of Collateral Asset and the Cross-Border Effect of Automatic Stays," IMES Discussion Paper Series 16-E-08, Institute for Monetary and Economic Studies, Bank of Japan.
• Yaniv Azoulay & Andrey Kudryavtsev & Shosh Shahrabani, 2016. "Accumulating approach to the life-cycle pension model: practical advantages," Financial Theory and Practice, Institute of Public Finance, vol. 40(4), pages 413-436.
• Gupta, Rangan & Hammoudeh, Shawkat & Modise, Mampho P. & Nguyen, Duc Khuong, 2014. "Can economic uncertainty, financial stress and consumer sentiments predict U.S. equity premium?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 367-378.
  • Rangan Gupta & Shawkat Hammoudeh & Mampho P. Modise & Duc Khuong Nguyen, 2013. "Can Economic Uncertainty, Financial Stress and Consumer Sentiments Predict U.S. Equity Premium?," Working Papers 201351, University of Pretoria, Department of Economics.
  • Rangan Gupta & Shawkat Hammoudeh & Mampho P. Modise & Duc Khuong Nguyen, 2013. "Can Economic Uncertainty, Financial Stress and Consumer Sentiments Predict U.S. Equity Premium?," Working Papers 2013-20, Department of Research, Ipag Business School.
  • Rangan Gupta & Shawkat Hammoudeh & Mampho P. Modise & Duc Khuong Nguyen, 2014. "Can Economic Uncertainty, Financial Stress and Consumer Senti-ments Predict U.S. Equity Premium?," Working Papers 2014-436, Department of Research, Ipag Business School.
• Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).
• Satish Sharma & Mikhail Shebalkov & Andrey Yukhanaev, 2016. "Evaluating banks performance using key financial indicators – a quantitative modeling of Russian banks," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(1), pages 425-453, January-M.
• Ikechukwu Kelikume, 2016. "New evidence from the efficient market hypothesis for the Nigerian stock index using the wavelet unit root test approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(5), pages 185-197, Special I.
• Chi Ming Wong & Lei Lam Olivia Ting, 2016. "A Quantile Regression Approach to the Multiple Period Value at Risk Estimation," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 12(1), pages 1-35, February.
• Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "The credit-card-services augmented Divisia monetary aggregates," MPRA Paper 73245, University Library of Munich, Germany.
  • William Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016. "The Credit-Card-Services Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201604, University of Kansas, Department of Economics, revised Aug 2016.
• Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "Nowcasting nominal gdp with the credit-card augmented Divisia monetary aggregates," MPRA Paper 73246, University Library of Munich, Germany.
  • William Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016. "Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201605, University of Kansas, Department of Economics, revised Aug 2016.
• Barnett, William A. & Su, Liting, 2019. "Risk Adjustment Of The Credit-Card Augmented Divisia Monetary Aggregates," Macroeconomic Dynamics, Cambridge University Press, vol. 23(S1), pages 90-114, September.
  • Barnett, William & Su, Liting, 2016. "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," Studies in Applied Economics 67, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
  • William Barnett & Liting Su, 2016. "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201606, University of Kansas, Department of Economics, revised Aug 2016.
  • Barnett, William & Su, Liting, 2016. "Risk adjustment of the credit-card augmented Divisia monetary aggregates," MPRA Paper 73248, University Library of Munich, Germany.
• Fariba Karimi & Matthias Raddant, 2016. "Cascades in Real Interbank Markets," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 49-66, January.
  • Fariba Karimi & Matthias Raddant, 2016. "Cascades in Real Interbank Markets," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 49-66, January.
  • Karimi, Fariba & Raddant, Matthias, 2013. "Cascades in real interbank markets," Kiel Working Papers 1872, Kiel Institute for the World Economy (IfW).
  • Fariba Karimi & Matthias Raddant, 2013. "Cascades in real interbank markets," Papers 1310.1634, arXiv.org, revised Dec 2014.
• Fariba Karimi & Matthias Raddant, 2016. "Cascades in Real Interbank Markets," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 49-66, January.
  • Karimi, Fariba & Raddant, Matthias, 2013. "Cascades in real interbank markets," Kiel Working Papers 1872, Kiel Institute for the World Economy (IfW Kiel).
  • Fariba Karimi & Matthias Raddant, 2013. "Cascades in real interbank markets," Papers 1310.1634, arXiv.org, revised Dec 2014.
• Kotaro Miwa & Kazuhiro Ueda, 2016. "Price distortion induced by a flawed stock market index," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(2), pages 137-160, May.
• Pavel Kapinos & Oscar A. Mitnik, 2016. "A Top-down Approach to Stress-testing Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 49(2), pages 229-264, June.
• Alexis Flageollet & Hamza Bahaji, 2016. "Monetary Policy and Risk-Based Asset Allocation," Open Economies Review, Springer, vol. 27(5), pages 851-870, November.
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• Dimitris Andriosopoulos & Chrysovalantis Gaganis & Fotios Pasiouras, 2016. "Prediction of open market share repurchases and portfolio returns: evidence from France, Germany and the UK," Review of Quantitative Finance and Accounting, Springer, vol. 46(2), pages 387-416, February.
• R. Jared DeLisle & Bong Soo Lee & Nathan Mauck, 2016. "The dynamic relation between options trading, short selling, and aggregate stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 645-671, October.
• Havran, Dániel & Váradi, Kata, 2016. "A limitáras ajánlatok szerkezete és dinamikája a Budapesti Értéktőzsdén. Az OTP- és a Mol-részvények esete [The structure and dynamics of limit orders on the Budapest stock exchange: The cases of O," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 966-992.
• Issam BOUSALAM, 2016. "Forecasting Daily Stock Volatility Using GARCH-CJ Type Models with Continuous and Jump Variation," Turkish Economic Review, KSP Journals, vol. 3(1), pages 160-169, March.
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• Dr. Patrick Weber, 2016. "Excess liquidity creation of banks and nancial market peaks," Credit and Capital Markets, Credit and Capital Markets, vol. 49(1), pages 37-56.
• David Alan Peel & Pantelis Promponas, 2016. "Forecasting the nominal exchange rate movements in a changing world. The case of the U.S. and the U.K," Working Papers 144439514, Lancaster University Management School, Economics Department.
• Maria Luisa Saavedra García & Gabriela Espíndola Armenta, 2016. "El uso de la planeación financiera en las PYME de TI de México," Revista Ciencias Administrativas (CADM), IIA, Universidad Nacional de La Plata, Instituto de Investigaciones Administrativas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, issue 8, pages 15-32, July-Dece.
• Mateo Velásquez Giraldo & Diego Restrepo Tobón, 2016. "Affine Term Structure Models: Forecasting the Yield Curve for Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 85, pages 53-90, Julio - D.
• Nusrat Jahan & John J. Cheh & Il-woon Kim, 2016. "A comparison of Graham and Piotroski investment models using accounting information and efficacy measurement," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(1), pages 43-54, February.
• Davallou , Maryam & Sadrynia , Mostafa, 2016. "The Impact of Asymmetric Risk on Expected Return," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 11(1), pages 1-13, January.
• Frantisek Darena & Jonas Petrovsky & Jan Zizka & Jan Prichystal, 2016. "Analyzing the correlation between online texts and stock price movements at micro-level using machine learning," MENDELU Working Papers in Business and Economics 2016-67, Mendel University in Brno, Faculty of Business and Economics.
• Ender Demir & Ka Wai Terence Fung & Zhou Lu, 2016. "Capital Asset Pricing Model and Stochastic Volatility: A Case Study of India," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(1), pages 52-65, January.
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• Raymond Leh Bin Ling & Jeng Yuan Chia, 2016. "Portfolio Diversification Strategy in the Malaysian Stock Market," Capital Markets Review, Malaysian Finance Association, vol. 24(1), pages 38-67.
• Massimiliano Kaucic & Roberto Daris, 2016. "Prospect Theory Based Portfolio Optimization Problem with Imprecise Forecasts," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 14(4 (Winter), pages 359-384.
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• Francesco Giuseppe Caloia & Andrea Cipollini & Silvia Muzzioli, 2016. "A note on normalization schemes:The case of generalized forecast error variance decompositions," Department of Economics 0092, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
• Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Documents de travail du Centre d'Economie de la Sorbonne 16026, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are Critical Slowing Down Indicators Useful to Detect Financial Crises?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01505202, HAL.
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• Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016. "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Documents de travail du Centre d'Economie de la Sorbonne 16046r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
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• Julián Pareja Vasseur & Carolina Cadavid Pérez, 2016. "Pharmaceutical patents valuation through real options: Certainty equivalents and utility function," Contaduría y Administración, Accounting and Management, vol. 61(4), pages 794-814, Octubre-D.
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