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

2021

• Rojo-Ramírez, Alfonso A., 2021. "Rendimiento mínimo del inversor-propietario. El caso de la empresa pyme familiar," Small Business International Review, Asociación Española de Contabilidad y Administración de Empresas - AECA, vol. 5(1), pages 287-287, January.
• Bogdan Cosmin GOMOI & Mioara Florina PANTEA & Lavinia Denisia CUC, 2021. "Brief Financial Diagnosis of a Transnational Company," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 1(12), pages 19-28, December .
• Bogdan Cosmin GOMOI & Natalia Ioana PANTELIMON, 2021. "SIG and CAF – Methods of Tracking and Analysing the Financial Performances of Economic Entities," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(1), pages 20-31, January.
• Delia Andreea FLOREA & Diana Iulia OPRIȘ, 2021. "Stock Valuation Methods," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(1), pages 32-38, January.
• Bogdan Cosmin GOMOI, 2021. "Management and Profitability Ratios – The Connection Between the Financial Position and the Performance of the Economic Entities," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 2(4), pages 39-46, April.
• Yan, Beibei & Arslan-Ayaydin, Özgür & Thewissen, James & Torsin, Wouter, 2021. "Does managerial ability affect disclosure? Evidence from earnings press releases," LIDAM Reprints LFIN 2021006, Université catholique de Louvain, Louvain Finance (LFIN).
• Olkhov, Victor, 2021. "To VaR, or Not to VaR, That is the Question," MPRA Paper 105458, University Library of Munich, Germany.
  • Victor Olkhov, 2021. "To VaR, or Not to VaR, That is the Question," Papers 2101.08559, arXiv.org.
• Maithili S. Naik & Y.V. Reddy, 2021. "India VIX and Forecasting Ability of Symmetric and Asymmetric GARCH Models," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(3), pages 252-262, March.
• Khatibu Kazungu & John R. Mboya, 2021. "Volatility of Stock Prices in Tanzania: Application of Garch Models to Dar Es Salaam Stock Exchange," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 9(1), pages 15-28, March.
• Manuela Pedio, 2021. "Option-Implied Network Measures of Tail Contagion and Stock Return Predictability," BAFFI CAREFIN Working Papers 21154, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
• Dariia Vasylieva, 2021. "Corporate Bond Markets In Eastern Europe: Trends And Prospects," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 7(1).
• Fredy Gamboa-Estrada & Jose Vicente Romero, 2021. "Common and idiosyncratic movements in Latin-American Exchange Rates," Borradores de Economia 1158, Banco de la Republica de Colombia.
• Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
• J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
  • J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading.
• Montagna, Mattia & Torri, Gabriele & Covi, Giovanni, 2020. "On the origin of systemic risk," Working Paper Series 2502, European Central Bank.
  • Montagna, Mattia & Torri, Gabriele & Covi, Giovanni, 2021. "On the origin of systemic risk," Bank of England working papers 906, Bank of England.
• Panagiotis Lazaris & Anastasios Petropoulos & Vasileios Siakoulis & Evangelos Stavroulakis & Nikolaos Vlachogiannakis, 2021. "Interest rate pass through in the deposit and loan products provided by Greek banks," Working Papers 286, Bank of Greece.
• Chang Carolyn W. & Feng Yalan, 2021. "Hurricane Bond Price Dependency on Underlying Hurricane Parameters," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 15(1), pages 1-21, January.
• Tripathi Manas & Kumar Saurabh & Inani Sarveshwar Kumar, 2021. "Exchange Rate Forecasting Using Ensemble Modeling for Better Policy Implications," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 43-71, January.
• 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.
• Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2021. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Swiss Finance Institute Research Paper Series 21-09, Swiss Finance Institute.
• Alexander Wehrli & Didier Sornette, 2021. "Excess financial volatility explained by endogenous excitations revealed by EM calibrations of a generalized Hawkes point process," Swiss Finance Institute Research Paper Series 21-35, Swiss Finance Institute.
• Dessaint, Olivier & Foucault, Thierry & Frésard, Laurent, 2021. "Does Alternative Data Improve Financial Forecasting? The Horizon Effect," CEPR Discussion Papers 15786, C.E.P.R. Discussion Papers.
• Christoffersen, Peter & Fournier, Mathieu & Jacobs, Kris & Karoui, Mehdi, 2021. "Option-Based Estimation of the Price of Coskewness and Cokurtosis Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(1), pages 65-91, February.
  • Peter Christoffersen & Mathieu Fournier & Kris Jacobs & Mehdi Karoui, 2015. "Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk," CREATES Research Papers 2015-54, Department of Economics and Business Economics, Aarhus University.
• Doan, Minh Phuong & Sercu, Piet, 2021. "Merging One's Way to the Top: AB Inbev versus Heineken," Journal of Wine Economics, Cambridge University Press, vol. 16(1), pages 32-55, February.
• Ikhlaas Gurrib & Firuz Kamalov & Elgilani Elshareif, 2021. "Can the Leading US Energy Stock Prices be Predicted using the Ichimoku Cloud?," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 41-51.
• Prasad, Mason & Bakry, Walid & Varua, Maria Estela, 2021. "Abnormal volatility in seasoned equity offerings during economic disruptions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
• Georges, Christophre & Pereira, Javier, 2021. "Market stability with machine learning agents," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
• Bianchi, Daniele, 2021. "Adaptive expectations and commodity risk premiums," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
• Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
• Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
• Wen, Danyan & Wang, Yudong & Zhang, Yaojie, 2021. "Intraday return predictability in China’s crude oil futures market: New evidence from a unique trading mechanism," Economic Modelling, Elsevier, vol. 96(C), pages 209-219.
• Hu, Shuowen & Poskitt, D.S. & Zhang, Xibin, 2021. "Bayesian estimation for a semiparametric nonlinear volatility model," Economic Modelling, Elsevier, vol. 98(C), pages 361-370.
• Nonejad, Nima, 2021. "Predicting equity premium using dynamic model averaging. Does the state–space representation matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
• Qiu, Yue, 2021. "Complete subset least squares support vector regression," Economics Letters, Elsevier, vol. 200(C).
• Gross, Christian & Jarmuzek, Mariusz & Pancaro, Cosimo, 2021. "Macro-stress testing dividend income. Evidence from euro area banks," Economics Letters, Elsevier, vol. 201(C).
• 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".
• Jaskowski, Marcin & McAleer, Michael, 2021. "Spurious cross-sectional dependence in credit spread changes," Econometrics and Statistics, Elsevier, vol. 18(C), pages 12-27.
  • Marcin Jaskowski & Michael McAleer, 2018. "Spurious Cross-Sectional Dependence in Credit Spread Changes," Documentos de Trabajo del ICAE 2018-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Jaskowski, M. & McAleer, M.J., 2018. "Spurious Cross-Sectional Dependence in Credit Spread Changes," Econometric Institute Research Papers EI 208-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Leung, Melvern & Li, Youwei & Pantelous, Athanasios A. & Vigne, Samuel A., 2021. "Bayesian Value-at-Risk backtesting: The case of annuity pricing," European Journal of Operational Research, Elsevier, vol. 293(2), pages 786-801.
  • Leung, Melvern & Li, Youwei & Pantelous, Athanasios & Vigne, Samuel, 2019. "Bayesian Value-at-Risk Backtesting: The Case of Annuity Pricing," MPRA Paper 101698, University Library of Munich, Germany.
• Qiu, Yue & Wang, Zongrun & Xie, Tian & Zhang, Xinyu, 2021. "Forecasting Bitcoin realized volatility by exploiting measurement error under model uncertainty," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 179-201.
• Baum, Christopher F. & Zerilli, Paola & Chen, Liyuan, 2021. "Stochastic volatility, jumps and leverage in energy and stock markets: Evidence from high frequency data," Energy Economics, Elsevier, vol. 93(C).
  • Christopher F Baum & Paola Zerilli & Liyuan Chen, 2018. "Stochastic volatility, jumps and leverage in energy and stock markets: evidence from high frequency data," Boston College Working Papers in Economics 952, Boston College Department of Economics, revised 29 May 2019.
• Iyke, Bernard Njindan & Tran, Vuong Thao & Narayan, Paresh Kumar, 2021. "Can energy security predict energy stock returns?," Energy Economics, Elsevier, vol. 94(C).
• Dai, Zhifeng & Zhou, Huiting & Kang, Jie & Wen, Fenghua, 2021. "The skewness of oil price returns and equity premium predictability," Energy Economics, Elsevier, vol. 94(C).
• Nguyen, Quyen & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda, 2021. "Predicting corporate carbon footprints for climate finance risk analyses: A machine learning approach," Energy Economics, Elsevier, vol. 95(C).
• He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021. "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, vol. 97(C).
• Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2021. "Investor heterogeneity and momentum-based trading strategies in China," International Review of Financial Analysis, Elsevier, vol. 74(C).
• Lartey, Theophilus & James, Gregory A. & Danso, Albert, 2021. "Interbank funding, bank risk exposure and performance in the UK: A three-stage network DEA approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
• Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
• González-Sánchez, Mariano, 2021. "Is there a relationship between the time scaling property of asset returns and the outliers? Evidence from international financial markets," Finance Research Letters, Elsevier, vol. 38(C).
• Xu, Qiuhua & Zhang, Yixuan & Zhang, Ziyang, 2021. "Tail-risk spillovers in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 38(C).
• Wu, Xinyu & Xie, Haibin, 2021. "A realized EGARCH-MIDAS model with higher moments," Finance Research Letters, Elsevier, vol. 38(C).
• Bouri, Elie & Demirer, Riza & Gupta, Rangan & Wohar, Mark E., 2021. "Gold, platinum and the predictability of bond risk premia," Finance Research Letters, Elsevier, vol. 38(C).
  • Elie Bouri & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2019. "Gold, Platinum and the Predictability of Bond Risk Premia," Working Papers 201967, University of Pretoria, Department of Economics.
• Kinateder, Harald & Papavassiliou, Vassilios G., 2021. "Calendar effects in Bitcoin returns and volatility," Finance Research Letters, Elsevier, vol. 38(C).
• Silahli, Baykar & Dingec, Kemal Dincer & Cifter, Atilla & Aydin, Nezir, 2021. "Portfolio value-at-risk with two-sided Weibull distribution: Evidence from cryptocurrency markets," Finance Research Letters, Elsevier, vol. 38(C).
• Bonato, Matteo & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "A note on investor happiness and the predictability of realized volatility of gold," Finance Research Letters, Elsevier, vol. 39(C).
  • Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "A Note on Investor Happiness and the Predictability of Realized Volatility of Gold," Working Papers 202004, University of Pretoria, Department of Economics.
• Kladívko, Kamil & Österholm, Pär, 2021. "Do market participants’ forecasts of financial variables outperform the random-walk benchmark?," Finance Research Letters, Elsevier, vol. 40(C).
• Apergis, Nicholas & Koutmos, Dimitrios & Payne, James E., 2021. "Convergence in cryptocurrency prices? the role of market microstructure," Finance Research Letters, Elsevier, vol. 40(C).
• Madan, Dilip B. & Wang, King, 2021. "The structure of financial returns," Finance Research Letters, Elsevier, vol. 40(C).
• Burggraf, Tobias & Rudolf, Markus, 2021. "Cryptocurrencies and the low volatility anomaly," Finance Research Letters, Elsevier, vol. 40(C).
• Iyke, Bernard Njindan & Ho, Sin-Yu, 2021. "Stock return predictability over four centuries: The role of commodity returns," Finance Research Letters, Elsevier, vol. 40(C).
• Taussig, Roi D., 2021. "Competition risk and expected stock returns," Finance Research Letters, Elsevier, vol. 41(C).
• Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
• Wang, Yudong & Hao, Xianfeng & Wu, Chongfeng, 2021. "Forecasting stock returns: A time-dependent weighted least squares approach," Journal of Financial Markets, Elsevier, vol. 53(C).
• 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).
• Baker, H. Kent & Kumar, Satish & Pandey, Nitesh, 2021. "Thirty years of the Global Finance Journal: A bibliometric analysis," Global Finance Journal, Elsevier, vol. 47(C).
• McGuinness, Paul B., 2021. "Board member age, stock seasoning and the evolution of capital structure in Chinese firms," International Business Review, Elsevier, vol. 30(3).
• Urom, Christian & Ndubuisi, Gideon & Ozor, Jude, 2021. "Economic activity, and financial and commodity markets’ shocks: An analysis of implied volatility indexes," International Economics, Elsevier, vol. 165(C), pages 51-66.
• Mamatzakis, Emmanuel C. & Ongena, Steven & Tsionas, Mike G., 2021. "Does alternative finance moderate bank fragility? Evidence from the euro area," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
• Bessler, Wolfgang & Taushanov, Georgi & Wolff, Dominik, 2021. "Optimal asset allocation strategies for international equity portfolios: A comparison of country versus industry optimization," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
• Çela, Eranda & Hafner, Stephan & Mestel, Roland & Pferschy, Ulrich, 2021. "Mean-variance portfolio optimization based on ordinal information," Journal of Banking & Finance, Elsevier, vol. 122(C).
• Chen, Jingjing & Jiang, George J. & Yuan, Chaowen & Zhu, Dongming, 2021. "Breaking VIX at open: Evidence of uncertainty creation and resolution," Journal of Banking & Finance, Elsevier, vol. 124(C).
• Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2021. "A non-elliptical orthogonal GARCH model for portfolio selection under transaction costs," Journal of Banking & Finance, Elsevier, vol. 125(C).
• Anghel, Dan Gabriel, 2021. "Data Snooping Bias in Tests of the Relative Performance of Multiple Forecasting Models," Journal of Banking & Finance, Elsevier, vol. 126(C).
• Atanasov, Victoria, 2021. "Unemployment and aggregate stock returns," Journal of Banking & Finance, Elsevier, vol. 129(C).
• Louie Ren & Peter Ren, 2021. "On Hoover’s Scale-Free Forecast Accuracy Metric MAD/MEAN," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 153-168, June.
• Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou, 2021. "Gold Against the Machine," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 5-28, January.
• Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 29-53, January.
  • Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Working Papers 202003, University of Pretoria, Department of Economics.
• Indranil Ghosh & Manas K. Sanyal & R. K. Jana, 2021. "Co-movement and Dynamic Correlation of Financial and Energy Markets: An Integrated Framework of Nonlinear Dynamics, Wavelet Analysis and DCC-GARCH," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 503-527, February.
• Julien Chevallier & Bangzhu Zhu & Lyuyuan Zhang, 2021. "Forecasting Inflection Points: Hybrid Methods with Multiscale Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 537-575, February.
• Dimitrios Koutmos & James E. Payne, 2021. "Intertemporal asset pricing with bitcoin," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 619-645, February.
• A. Hachicha & F. Hachicha, 2021. "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 647-673, February.
• Alex YiHou Huang & Ming-Che Hu & Quang Thai Truong, 2021. "Asymmetrical impacts from overnight returns on stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 849-889, April.
• Andreï Kostyrka & Dmitry Igorevich Malakhov,, 2021. "The good, the bad, and the asymmetric: Evidence from a new conditional density model," DEM Discussion Paper Series 21-09, Department of Economics at the University of Luxembourg.
• Theologos Dergiades & Panos K. Pouliasis, 2021. "Should Stock Returns Predictability be hooked on Long Horizon Regressions?," Discussion Paper Series 2021_03, Department of Economics, University of Macedonia, revised Feb 2021.
• Marek Sojka, 2021. "PEAD na polskim rynku akcji," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 143-166.
• Theis Ingerslev Jensen & Bryan T. Kelly & Lasse Heje Pedersen, 2021. "Is There A Replication Crisis In Finance?," NBER Working Papers 28432, National Bureau of Economic Research, Inc.
• Torben G. Andersen & Rasmus T. Varneskov, 2021. "Consistent Inference for Predictive Regressions in Persistent Economic Systems," NBER Working Papers 28568, National Bureau of Economic Research, Inc.
• Torben G. Andersen & Rasmus T. Varneskov, 2021. "Consistent Local Spectrum (LCM) Inference for Predictive Return Regressions," NBER Working Papers 28569, National Bureau of Economic Research, Inc.
• Torben G. Andersen & Rasmus T. Varneskov, 2021. "Testing for Parameter Instability and Structural Change in Persistent Predictive Regressions," NBER Working Papers 28570, National Bureau of Economic Research, Inc.
• Chi Heem Wong & Dexin Li & Nina Wang & Jonathan Gruber & Rena M. Conti & Andrew W. Lo, 2021. "Estimating the Financial Impact of Gene Therapy in the U.S," NBER Working Papers 28628, National Bureau of Economic Research, Inc.
• Scott R. Baker & Nicholas Bloom & Steven J. Davis & Marco C. Sammon, 2021. "What Triggers Stock Market Jumps?," NBER Working Papers 28687, National Bureau of Economic Research, Inc.
• Takuro Hidaka & Jun Sakamoto, 2021. "Predictability of market returns for the UK fs former colonies, protectorates, and mandates," Discussion Papers in Economics and Business 21-08, Osaka University, Graduate School of Economics.
• Daniele Bianchi & Matthias Büchner & Andrea Tamoni & Stijn Van Nieuwerburgh, 2021. "Bond Risk Premiums with Machine Learning," Review of Financial Studies, Society for Financial Studies, vol. 34(2), pages 1046-1089.
• Martin Zurek & Lars Heinrich, 2021. "Bottom-up versus top-down factor investing: an alpha forecasting perspective," Journal of Asset Management, Palgrave Macmillan, vol. 22(1), pages 11-29, February.
• 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.
• 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.
  • 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.
• 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.
• 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.
• Georgiev, Iliyan & Demetrescu, Matei & Rodrigues, Paulo MM & Taylor, AM Robert, 2021. "Extensions to IVX Methods of Inference for Return Predictability," Essex Finance Centre Working Papers 29779, University of Essex, Essex Business School.
  • 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Barro, Robert J. & Liao, Gordon Y., 2021. "Rare disaster probability and options pricing," Journal of Financial Economics, Elsevier, vol. 139(3), pages 750-769.
• Huang, Dashan & Li, Jiangyuan & Wang, Liyao, 2021. "Are disagreements agreeable? Evidence from information aggregation," Journal of Financial Economics, Elsevier, vol. 141(1), pages 83-101.
• Jiang, Hao & Li, Sophia Zhengzi & Wang, Hao, 2021. "Pervasive underreaction: Evidence from high-frequency data," Journal of Financial Economics, Elsevier, vol. 141(2), pages 573-599.
• Al Mabsali, Yousuf Khamis & Hayward, Robert & Eliwa, Yasser, 2021. "Managerial tools used to meet or beat analyst forecasts: Evidence from the UK," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 43(C).
• Megaritis, Anastasios & Vlastakis, Nikolaos & Triantafyllou, Athanasios, 2021. "Stock market volatility and jumps in times of uncertainty," Journal of International Money and Finance, Elsevier, vol. 113(C).
  • Megaritis, Anastasios & Vlastakis, Nikolaos & Triantafyllou, Athanasios, 2020. "Stock market volatility and jumps in times of uncertainty," Essex Finance Centre Working Papers 29200, University of Essex, Essex Business School.
• Diaz, Elena Maria & Perez-Quiros, Gabriel, 2021. "GEA tracker: A daily indicator of global economic activity," Journal of International Money and Finance, Elsevier, vol. 115(C).
• Stoupos, Nikolaos & Kiohos, Apostolos, 2021. "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, vol. 70(C).
• Ho, Tu & Lv, Jin Roc & Schultz, Emma, 2021. "Market intraday momentum in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
• Chang, Meng-Shiuh & Kung, Chih-Chun & Chen, Meng-Wei & Tian, Yuan, 2021. "Volatility regime, inverted asymmetry, contagion, and flights in the gold market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
• 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).
• 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.
• 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.
• 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).
• 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.
• 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.
• 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.
  • Georgiev, Iliyan & Demetrescu, Matei & Rodrigues, Paulo MM & Taylor, AM Robert, 2021. "Extensions to IVX Methods of Inference for Return Predictability," Essex Finance Centre Working Papers 29779, University of Essex, Essex Business School.
• 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.
• Marcin Dec, 2021. "Parsimonious yield curve modeling in less liquid markets," GRAPE Working Papers 52, GRAPE Group for Research in Applied Economics.
• 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.
• Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2021. "Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility," Discussion paper series HIAS-E-104, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
• David Conaly Martínez Vázquez & Christian Bucio Pacheco & Alejandra Cabello Rosales, 2021. "Proyección Markoviana para 2020 y 2021 de las Calificaciones Corporativas en México," 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. 16(1), pages 1-21, Enero - M.
• David Conaly Martínez Vázquez & Christian Bucio Pacheco & Alejandra Cabello Rosales, 2021. "Proyección Markoviana para 2020 y 2021 de las Calificaciones Corporativas en México," 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. 16(1), pages 1-21, Enero - M.
• 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.
  • 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.
• Juan David Vega Baquero & Miguel Santolino, 2021. ""Too big to fail? An analysis of the Colombian banking system through compositional data"," IREA Working Papers 202111, University of Barcelona, Research Institute of Applied Economics, revised Apr 2021.
• 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.

2020

• 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, 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).
• 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.
• 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.
• 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).
• 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, Rating Academy, vol. 7(1), pages 79-102, January.
• 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.
• Víg, Attila András & Bihary, Zsolt, 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.
• 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.
  • Fabrizio Cipollini & Giampiero M Gallo & Alessandro Palandri, 0. "Realized Variance Modeling: Decoupling Forecasting from Estimation," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(3), pages 532-555.
  • 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.
  • G Andrew Karolyi & Stijn Van Nieuwerburgh, 2020. "New Methods for the Cross-Section of Returns," Review of Finance, European Finance Association, vol. 33(5), pages 1879-1890.
• 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.
• 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.
• Ionela Munteanu, 2020. "Financial Reporting Quality and Operational Efficiency in the Coastal Region of Romania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 978-984, December.
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• 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.
• Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Realized Stock-Market Volatility: Do Industry Returns have Predictive Value?," Working Papers 2020107, University of Pretoria, Department of Economics.
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• Horia CRISTEA & Claudiu BOȚOC, 2020. "The Effects of Indebting the Entity as a Result of Choosing Long Term Financing," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 0(4), pages 38-45, April.
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• 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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• Olkhov, Victor, 2020. "Volatility Depend on Market Trades and Macro Theory," MPRA Paper 102434, University Library of Munich, Germany.
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• 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.
  • Beckmann, J & Koop, G & Korobilis, D & Schüssler, R, 2017. "Exchange rate predictability and dynamic Bayesian learning," Essex Finance Centre Working Papers 20781, University of Essex, Essex Business School.
  • Schüssler, Rainer & Beckmann, Joscha & Koop, Gary & Korobilis, Dimitris, 2018. "Exchange rate predictability and dynamic Bayesian learning," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181523, Verein für Socialpolitik / German Economic Association.
• 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, June.
• 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, June.
• 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..
  • Bloch, M. & Guerard, J. & Markowitz, H. & Todd, P. & Xu, G., 1993. "A comparison of some aspects of the U.S. and Japanese equity markets," Japan and the World Economy, Elsevier, vol. 5(1), pages 3-26, May.
• 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..

2019

• Milan Fičura, 2019. "Forecasting Foreign Exchange Rate Movements with k-Nearest-Neighbour, Ridge Regression and Feed-Forward Neural Networks," FFA Working Papers 1.001, Prague University of Economics and Business, revised 24 Nov 2019.
• Savvakis C. Savvides, 2019. "Unproductive Debt and the Impairment of the Real Economy," Development Discussion Papers 2019-10, JDI Executive Programs.
• Savvakis C. Savvides, 2019. "Collateral Damage," Development Discussion Papers 2019-13, JDI Executive Programs.
• Gustavo Cabrera Gonzalez & Adrian De Leon Arias, 2019. "Modelacion Markoviana para identificar la dinamica y pronostico del indice de produccion industrial en Mexico de 1980 a 2018," EconoQuantum, Revista de Economia y Negocios, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 16(2), pages 23-41, Julio-Dic.
• J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
  • J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading.
• 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.
  • Ivan Jaccard & Frank Smets, 2019. "Online Appendix to "Structural Asymmetries and Financial Imbalances in the Eurozone"," Online Appendices 18-135, Review of Economic Dynamics.
• 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.
  • Ivan Jaccard & Frank Smets, 2019. "Code and data files for "Structural Asymmetries and Financial Imbalances in the Eurozone"," Computer Codes 18-135, Review of Economic Dynamics.
• 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.
• Radosław Pastusiak & Jakub Keller, 2019. "Determinants of occurrence of excessive optimism among analysts of the Warsaw Stock Exchange," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics, vol. 37(1), pages 259-275.
• Gabriele Fiorentini & Enrique Sentana, 2018. "New Testing Approaches for Mean-Variance Predictability," Working Papers wp2018_1814, CEMFI.
  • Gabriele Fiorentini & Enrique Sentana, 2019. "New testing approaches for mean-variance predictability," Working Paper series 19-01, Rimini Centre for Economic Analysis.
  • 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," Econometrics Working Papers Archive 2019_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2019. "Commodity Price Uncertainty as a Leading Indicator of Economic Activity," Working Paper series 19-03, Rimini Centre for Economic Analysis.
  • Bakas, Dimitrios & Ioakimidis, Marilou & Triantafyllou, Athanasios, 2020. "Commodity Price Uncertainty as a Leading Indicator of Economic Activity," Essex Finance Centre Working Papers 27361, University of Essex, Essex Business School.
• Senarathne, Chamil W, 2019. "The Information Flow Interpretation of Margin Debt Value Data: Evidence from New York Stock Exchange," Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 26(1), pages 45-70, June.
• 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.
  • 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," MPRA Paper 95992, University Library of Munich, Germany.
• Nagapetyan, Artur, 2019. "Precondition stock and stock indices volatility modeling based on market diversification potential: Evidence from Russian market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 45-61.
• Iskenderoglu, Omer & Akdag, Saffet, 2019. "Türkiye’de Reel Konut Fiyatlarında Balonların Varlığı Üzerine Uygulamalı Bir Analiz (An Applied Analysis on the Presence of Price Bubbles of Real Estate Prices in Turkey)," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 10(5), pages 1085-1093, October.
• Yaakub, Nurwahida & Sherif, Mohamed, 2019. "Performance of initial public offerings (IPOs): the case of Shariah-compliant companies," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 27, pages 65-76.
• Chi, Yu-Ho & Ziebart, David A & Campbell, Terry, 2019. "Option Compensation and Optimistic Bias in Management’s Earnings Forecasts," Journal of Finance and Accounting Research, University of Management and Technology, Lahore, vol. 1(2), pages 1-26, August.
• Alahrezaee, Asaad & falahati, Ali & Soheily, Kiomars, 2019. "Portfolio Optimization Using Three-Objective Particle Swarm Optimization," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 5(4), pages 31-52, February.
• Bargi Osguie, Mohammad Mehdi & Saghafi Killvana, Reza, 2019. "An Appraisal of Downside and Upside Risk Spillovers of Exchange Rates, Crude Oil and Gold Prices on Tehran Stock Exchange," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 5(4), pages 143-172, February.
• Qiu, Yue & Xie, Tian & Yu, Jun & Zhou, Qiankun, 2019. "Forecasting Equity Index Volatility by Measuring the Linkage among Component Stocks," Economics and Statistics Working Papers 7-2019, Singapore Management University, School of Economics.
• Mance, Davor & Olgic Drazenovic, Bojana & Suljic Nikolaj, Stella, 2019. "Croatian Kuna: Money, Or Just A Currency? Evidence From The Interbank Market," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 10(2), pages 149-161.
• Lucian Liviu ALBU & Radu LUPU & Adrian Cantemir CĂLIN & Iulia LUPU, 2019. "Nonlinear Modeling of Financial Stability Using Default Probabilities from the Capital Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 19-37, March.
• Wali ULLAH, 2019. "The Role of No-Arbitrage Restriction in Term Structure Model in the Context of an Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 44-66, December.
• Meysam KAVIANI & Parviz SAEEDI & Hosein DIDEHKHANI & Seyed Fakhreddin FAKHREHOSSEINI, 2019. "Government Expenditure, Risk and Return: A Framework for a New Keynesian Model in the Iranian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-24, December.
• Jinyoung YU & Doojin RYU, 2019. "Predicting Banks’ Subordinated Bond Issuances," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 87-99, December.
• Abramov, Alexander E. (Абрамов, Александр) & Radygin, Alexander D. (Радыгин, Александр) & Chernova, Maria I. (Чернова, Мария), 2019. "Efficiency in Portfolio Management of Equity Funds and Methods of Its Evaluation [Эффективность Управления Портфелями Паевых Инвестиционных Фондов Акций И Ее Оценка]," Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 8-47, August.
• Kinateder, Harald & Papavassiliou, Vassilios G., 2019. "Sovereign bond return prediction with realized higher moments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 53-73.
  • Harald Kinateder & Vassilios G. Papavassiliou, 2019. "Sovereign bond return prediction with realized higher moments," Open Access publications 10197/11286, Research Repository, University College Dublin.
• Kriti Kulshrestha & Saumitra N. Bhaduri, 2019. "The Joint Dynamics of Liquidity and Volatility Across Small- and Large- index Indian Funds," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(2_suppl), pages 167-182, August.
• Suparna Nandy (Pal) & Arup Kr. Chattopadhyay, 2019. "‘Indian Stock Market Volatility’: A Study of Inter-linkages and Spillover Effects," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(2_suppl), pages 183-212, August.
• V. Minasyan B. & D. Ivko G. & В. Минасян Б. & Д. Ивко Г., 2019. "Анализ модельного риска использования технологии мультипликаторов при оценке акций российских компаний // Model Risk Analysis of Multiplier Technology Applied at Stock Valuation of Russian Companies," 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. 23(6), pages 91-116.
• Andy Cheng, 2019. "Pairs Trading with Crypto: Evidence from Bitcoin," Proceedings of International Academic Conferences 9211529, International Institute of Social and Economic Sciences.
• Ali Bendob & Naima Bentouir, 2019. "Options Pricing by Monte Carlo Simulation, Binomial Tree and BMS Model: a comparative study of Nifty50 options index," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 1(11), pages 79-95, January.
• 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).
• Zeineb Affes & Rania Hentati-Kaffel, 2019. "Forecast bankruptcy using a blend of clustering and MARS model: case of US banks," Annals of Operations Research, Springer, vol. 281(1), pages 27-64, October.
• N. Banholzer & S. Heiden & D. Schneller, 2019. "Exploiting investor sentiment for portfolio optimization," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 671-702, December.
• Anna Rita Bacinello & Ivan Zoccolan, 2019. "Variable annuities with a threshold fee: valuation, numerical implementation and comparative static analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(1), pages 21-49, June.
• Fabien Le Floc’h & Cornelis W. Oosterlee, 2019. "Model-Free Stochastic Collocation for an Arbitrage-Free Implied Volatility, Part II," Risks, MDPI, Open Access Journal, vol. 7(1), pages 1-21, March.
  • 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.
• Jonathan Haynes & Daniel Schmitt & Lukas Grimm, 2019. "Estimating stochastic volatility: the rough side to equity returns," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 449-469, December.
• Bernard Dumas & Elisa Luciano, 2019. "From volatility smiles to the volatility of volatility," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 387-406, December.
• Elisa Alòs & Maria Elvira Mancino & Tai-Ho Wang, 2019. "Volatility and volatility-linked derivatives: estimation, modeling, and pricing," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 321-349, December.
• Takanobu Mizuta & Sadayuki Horie, 2019. "Mechanism by which active funds make market efficient investigated with agent-based model," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 43-63, June.
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• Roi D. Taussig & Dror Tobi & Moti Zwilling, 2019. "The importance of timing in estimating beta," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 61-70, March.
• Mario Hefter & Arnulf Jentzen, 2019. "On arbitrarily slow convergence rates for strong numerical approximations of Cox–Ingersoll–Ross processes and squared Bessel processes," Finance and Stochastics, Springer, vol. 23(1), pages 139-172, January.
• Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun, 2019. "Long-term price overreactions: are markets inefficient?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 657-680, October.
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• James Francisco & Evan Moore, 2019. "Betting with house money: reverse line movement based strategies in college football totals markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 813-827, October.
• Saffet Akdağ & İlker Kiliç & Hakan Yildirim, 2019. "Does VIX scare stocks of tourism companies?," Letters in Spatial and Resource Sciences, Springer, vol. 12(3), pages 215-232, December.
• Jerzy Marcinkowski, 2019. "Dynamics of the Financial Markets and the Wealth Concentration," Springer Proceedings in Business and Economics, in: Waldemar Tarczyński & Kesra Nermend (ed.), Effective Investments on Capital Markets, chapter 0, pages 323-332, Springer.
• Matthias Demmer & Paul Pronobis & Teri Lombardi Yohn, 2019. "Mandatory IFRS adoption and analyst forecast accuracy: the role of financial statement-based forecasts and analyst characteristics," Review of Accounting Studies, Springer, vol. 24(3), pages 1022-1065, September.
• 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.
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• Buse, Rebekka & Schienle, Melanie & Urban, Jörg, 2019. "Effectiveness of policy and regulation in European sovereign credit risk markets: A network analysis," Working Paper Series in Economics 125, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
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• Irina Maslova & Boris Maslov & Irina Korostelkina & Liudmila Popova, 2019. "Model of statistical economic profile of innovative biomedical product value formation and update," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 471-483, September.
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• Mohamed Chikhi & Claude Diebolt, 2019. "Testing Nonlinearity through a Logistic Smooth Transition AR Model with Logistic Smooth Transition GARCH Errors," Working Papers 03-19, Association Française de Cliométrie (AFC).
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• Mohamed CHIKHI & Claude DIEBOLT & Tapas MISHRA, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers 07-19, Association Française de Cliométrie (AFC).
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• Mohamed CHIKHI & Claude DIEBOLT & Tapas MISHRA, 2019. "Does Predictive Ability of an Asset Price Rest in 'Memory'? Insights from a New Approach," Working Papers of BETA 2019-43, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
• Emilio Carnevali & Matteo Deleidi & Riccardo Pariboni & Marco Veronese Passarella, 2019. "Cross-Border Financial Effects of Global Warming In a Two-Area Ecological SFC Model," UMASS Amherst Economics Working Papers 2019-02, University of Massachusetts Amherst, Department of Economics.
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• Cangoz, Mehmet Coskun & Sulla, Olga & Wang, ChunLan & Dychala, Christopher Benjamin, 2019. "A Joint Foreign Currency Risk Management Approach for Sovereign Assets and Liabilities," MPRA Paper 100311, University Library of Munich, Germany.
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  • Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2016. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2016-10, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2018-06, Department of Economics, Auburn University.
  • Kim, Hyeongwoo & Shi, Wen & Kim, Hyun Hak, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," MPRA Paper 89768, University Library of Munich, Germany.
• Kim, Hyeongwoo & Ko, Kyunghwan, 2020. "Improving forecast accuracy of financial vulnerability: PLS factor model approach," Economic Modelling, Elsevier, vol. 88(C), pages 341-355.
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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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• Sarthak Behera & Hyeongwoo Kim, 2019. "Forecasting Dollar Real Exchange Rates and the Role of Real Activity Factors," Auburn Economics Working Paper Series auwp2019-04, Department of Economics, Auburn University.
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• Daniel J. Wilson, 2019. "Clearing the Fog: The Predictive Power of Weather for Employment Reports and Their Asset Price Responses," American Economic Review: Insights, American Economic Association, vol. 1(3), pages 373-388, December.
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• Mohamed Chikhi & Claude Diebolt, 2019. "Testing Nonlinearity through a Logistic Smooth Transition AR Model with Logistic Smooth Transition GARCH Errors," Working Papers of BETA 2019-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Mohamed Chikhi & Claude Diebolt, 2019. "Testing Nonlinearity through a Logistic Smooth Transition AR Model with Logistic Smooth Transition GARCH Errors," Working Papers 03-19, Association Française de Cliométrie (AFC).
• Mohamed Chikhi & Claude Diebolt & Tapas Mishra, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers of BETA 2019-24, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Mohamed CHIKHI & Claude DIEBOLT & Tapas MISHRA, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers 07-19, Association Française de Cliométrie (AFC).
• Niyazi TELÇEKEN & Murat KIYILAR & Eyüp KADIOĞLU, 2019. "Volatilite Endeksleri: Gelişimi, Türleri, Uygulamaları ve TRVIX Önerisi," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 4(2), pages 204-228.
• Andrea Bucci & Giulio Palomba & Eduardo Rossi, 2019. "Does macroeconomics help in predicting stock markets volatility comovements? A nonlinear approach," Working Papers 440, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
• Claudia Pigini, 2019. "Penalized Maximum Likelihood Estimation Of Logit-Based Early Warning Systems," Working Papers 441, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
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• Zobia Israr Ahmed & Khalid Mustafa, 2019. "Regime-Dependent Effects on Stock Market Return Dynamics: Evidence from SAARC Countries," Asian Development Policy Review, Asian Economic and Social Society, vol. 7(2), pages 111-132, June.
• Minjae Park & Mi Lim Lee & Jinpyo Lee, 2019. "Predicting Stock Market Indices Using Classification Tools," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(2), pages 243-256, February.
• Gergana Taneva, 2019. "An analysis and a forecast of the cryptomarket based on the ARIMA model," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 66-84.
• Pablo Aguilar & Samuel Hurtado & Stephan Fahr & Eddie Gerba, 2019. "Quest for robust optimal macroprudential policy," Working Papers 1916, Banco de España.
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• Wilmar Cabrera-Rodríguez & Santiago Segovia-Baquero & Juan Sebastián Mariño-Montaña & Eduardo Yanquen, 2019. "Probabilidad de incumplimiento de entidades financieras colombianas: una aproximación estructural," Borradores de Economia 1097, Banco de la Republica de Colombia.
• Pei Kuang & Renbin Zhang & Tongbin Zhang, 2019. "New Tests of Expectation Formation with Applications to Asset Pricing Models," Discussion Papers 19-05, Department of Economics, University of Birmingham.
• Ingo Fender & Mike McMorrow & Vahe Sahakyan & Omar Zulaica, 2019. "Green bonds: the reserve management perspective," BIS Quarterly Review, Bank for International Settlements, September.
• 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.
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• 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.
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• Germán Eduardo González, 2019. "Análisis de sentimientos de noticias e inversionistas en el mercado bursátil," Documentos CEDE 017375, Universidad de los Andes - CEDE.
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  • 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.
• Golosnoy, Vasyl & Gribisch, Bastian & Seifert, Miriam Isabel, 2019. "Exponential smoothing of realized portfolio weights," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 222-237.
• Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
• Westerlund, Joakim & Sharma, Susan Sunila, 2019. "Panel evidence on the ability of oil returns to predict stock returns in the G7 area," Energy Economics, Elsevier, vol. 77(C), pages 3-12.
• Ji, Qiang & Liu, Bing-Yue & Fan, Ying, 2019. "Risk dependence of CoVaR and structural change between oil prices and exchange rates: A time-varying copula model," Energy Economics, Elsevier, vol. 77(C), pages 80-92.
• Manner, Hans & Alavi Fard, Farzad & Pourkhanali, Armin & Tafakori, Laleh, 2019. "Forecasting the joint distribution of Australian electricity prices using dynamic vine copulae," Energy Economics, Elsevier, vol. 78(C), pages 143-164.
• Christensen, Troels Sønderby & Pircalabu, Anca & Høg, Esben, 2019. "A seasonal copula mixture for hedging the clean spark spread with wind power futures," Energy Economics, Elsevier, vol. 78(C), pages 64-80.
• Chen, Liyuan & Zerilli, Paola & Baum, Christopher F., 2019. "Leverage effects and stochastic volatility in spot oil returns: A Bayesian approach with VaR and CVaR applications," Energy Economics, Elsevier, vol. 79(C), pages 111-129.
  • Liyuan Chen & Paola Zerilli & Christopher F Baum, 2018. "Leverage effects and stochastic volatility in spot oil returns: A Bayesian approach with VaR and CVaR applications," Boston College Working Papers in Economics 953, Boston College Department of Economics.
• Zhang, Yaojie & Wei, Yu & Zhang, Yi & Jin, Daxiang, 2019. "Forecasting oil price volatility: Forecast combination versus shrinkage method," Energy Economics, Elsevier, vol. 80(C), pages 423-433.
• Zhang, Yaojie & Ma, Feng & Wei, Yu, 2019. "Out-of-sample prediction of the oil futures market volatility: A comparison of new and traditional combination approaches," Energy Economics, Elsevier, vol. 81(C), pages 1109-1120.
• Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2019. "Crude oil price shocks and hedging performance: A comparison of volatility models," Energy Economics, Elsevier, vol. 81(C), pages 1132-1147.
• Liu, Jingzhen & Kemp, Alexander, 2019. "Forecasting the sign of U.S. oil and gas industry stock index excess returns employing macroeconomic variables," Energy Economics, Elsevier, vol. 81(C), pages 672-686.
• Kim, Jae H. & Rahman, Md Lutfur & Shamsuddin, Abul, 2019. "Can energy prices predict stock returns? An extreme bounds analysis," Energy Economics, Elsevier, vol. 81(C), pages 822-834.
• Singh, Vipul Kumar & Kumar, Pawan & Nishant, Shreyank, 2019. "Global connectedness of MSCI energy equity indices: A system-wide network approach," Energy Economics, Elsevier, vol. 84(C).
• Caloia, Francesco Giuseppe & Cipollini, Andrea & Muzzioli, Silvia, 2019. "How do normalization schemes affect net spillovers? A replication of the Diebold and Yilmaz (2012) study," Energy Economics, Elsevier, vol. 84(C).
• Zhang, Yaojie & Wei, Yu & Ma, Feng & Yi, Yongsheng, 2019. "Economic constraints and stock return predictability: A new approach," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 1-9.
• Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019. "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 257-272.
• Shahzad, Syed Jawad Hussain & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav & Lucey, Brian, 2019. "Is Bitcoin a better safe-haven investment than gold and commodities?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 322-330.
• Tissaoui, Kais, 2019. "Forecasting implied volatility risk indexes: International evidence using Hammerstein-ARX approach," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 232-249.
• Yin, Anwen, 2019. "Out-of-sample equity premium prediction in the presence of structural breaks," International Review of Financial Analysis, Elsevier, vol. 65(C).
• Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2019. "Overnight momentum, informational shocks, and late informed trading in China," International Review of Financial Analysis, Elsevier, vol. 66(C).
  • Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2019. "Overnight Momentum, Informational Shocks, and Late-Informed Trading in China," MPRA Paper 96784, University Library of Munich, Germany.
• Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
  • Rangan Gupta & Christian Pierdzioch & Andrew J. Vivian & Mark E. Wohar, 2018. "The Predictive Value of Inequality Measures for Stock Returns: An Analysis of Long-Span UK Data Using Quantile Random Forests," Working Papers 201809, University of Pretoria, Department of Economics.
• Wong, Alfred, 2019. "Currency jumps, Euribor-OIS spreads and the volatility skew: A study on the dollar-euro crash risk of 2007–2015," Finance Research Letters, Elsevier, vol. 29(C), pages 7-16.
• Chu, Xiaojun & Gu, Zherong & Zhou, Haigang, 2019. "Intraday momentum and reversal in Chinese stock market," Finance Research Letters, Elsevier, vol. 30(C), pages 83-88.
• Kaiser, Lars, 2019. "Seasonality in cryptocurrencies," Finance Research Letters, Elsevier, vol. 31(C).
• Geuder, Julian & Kinateder, Harald & Wagner, Niklas F., 2019. "Cryptocurrencies as financial bubbles: The case of Bitcoin," Finance Research Letters, Elsevier, vol. 31(C).
• Lim, Kian Guan & Chen, Ying & Yap, Nelson K.L., 2019. "Intraday information from S&P 500 Index futures options," Journal of Financial Markets, Elsevier, vol. 42(C), pages 29-55.
• BenSaïda, Ahmed, 2019. "Good and bad volatility spillovers: An asymmetric connectedness," Journal of Financial Markets, Elsevier, vol. 43(C), pages 78-95.
• Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2019. "Estimating beta: Forecast adjustments and the impact of stock characteristics for a broad cross-section," Journal of Financial Markets, Elsevier, vol. 44(C), pages 91-118.
• Lanfear, Matthew G. & Lioui, Abraham & Siebert, Mark G., 2019. "Market anomalies and disaster risk: Evidence from extreme weather events," Journal of Financial Markets, Elsevier, vol. 46(C).
• Gonçalves, Rui & Ribeiro, Vitor Miguel & Pereira, Fernando Lobo & Rocha, Ana Paula, 2019. "Deep learning in exchange markets," Information Economics and Policy, Elsevier, vol. 47(C), pages 38-51.
• 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.
• Kinateder, Harald & Papavassiliou, Vassilios G., 2019. "Sovereign bond return prediction with realized higher moments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 53-73.
  • Harald Kinateder & Vassilios G. Papavassiliou, 2019. "Sovereign bond return prediction with realized higher moments," Open Access publications 10197/11286, Research Repository, University College Dublin.
• Daly, Kevin & Batten, Jonathan A. & Mishra, Anil V. & Choudhury, Tonmoy, 2019. "Contagion risk in global banking sector," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
• Buncic, Daniel & Stern, Cord, 2019. "Forecast ranked tailored equity portfolios," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
  • Buncic, Daniel & Stern, Cord, 2018. "Forecast ranked tailored equity portfolios," MPRA Paper 90382, University Library of Munich, Germany.
• Knotek, Edward S. & Zaman, Saeed, 2019. "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
  • Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
• Cont, Rama & Schaanning, Eric, 2019. "Monitoring indirect contagion," Journal of Banking & Finance, Elsevier, vol. 104(C), pages 85-102.
• Kearney, Fearghal & Shang, Han Lin & Sheenan, Lisa, 2019. "Implied volatility surface predictability: The case of commodity markets," Journal of Banking & Finance, Elsevier, vol. 108(C).
  • Fearghal Kearney & Han Lin Shang & Lisa Sheenan, 2019. "Implied volatility surface predictability: the case of commodity markets," Papers 1909.11009, arXiv.org.

2018

• Jensen, Christian Skov & Lando, David & Pedersen, Lasse Heje, 2019. "Generalized recovery," Journal of Financial Economics, Elsevier, vol. 133(1), pages 154-174.
  • Lasse Pedersen & David Lando & Christian Skov Jensen, 2016. "Generalized Recovery," 2016 Meeting Papers 935, Society for Economic Dynamics.
  • Lando, David & Pedersen, Lasse Heje & Skov Jensen, Christian, 2018. "Generalized Recovery," CEPR Discussion Papers 12665, 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.
• Buss, Adrian & Schönleber, Lorenzo & Vilkov, Grigory, 2018. "Expected Correlation and Future Market Returns," CEPR Discussion Papers 12760, C.E.P.R. Discussion Papers.
• Esida Gila-Gourgoura & Eftychia Nikolaidou, 2018. "Credit Risk Determinants In The Vulnerable Economies Of Europe: Evidence From The Italian Banking System," Proceedings of Economics and Finance Conferences 6909750, 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.
• Afees A. Salisu & Kazeem Isah & Lateef O. Akanni, 2018. "Predicting the stock prices of G7 countries with Bitcoin prices," Working Papers 054, Centre for Econometric and Allied Research, University of Ibadan.
• Kazeem Isah & Ibrahim D. Raheem, 2018. "The Hidden Predictive Power of Cryptocurrencies: Evidence from US Stock Market," Working Papers 056, Centre for Econometric and Allied Research, University of Ibadan.
• Afees A. Salisu & Ibrahim D. Raheem, 2018. "A new procedure for pre-testing the distribution properties of Stock returns," Working Papers 057, Centre for Econometric and Allied Research, University of Ibadan.
• Afees A. Salisu & Idris Adediran, 2018. "Testing for time-varying stochastic volatility in Bitcoin returns," Working Papers 060, Centre for Econometric and Allied Research, University of Ibadan.
• Afees A. Salisu & Ahamuefula Ephraim Ogbonna, 2018. "Does time-variation matter in the stochastic volatility components for G7 stock returns," Working Papers 062, Centre for Econometric and Allied Research, University of Ibadan.
• Chabi-Yo, Fousseni & Ruenzi, Stefan & Weigert, Florian, 2018. "Crash Sensitivity and the Cross Section of Expected Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1059-1100, June.
  • Chabi-Yo, Fousseni & Ruenzi, Stefan & Weigert, Florian, 2013. "Crash Sensitivity and the Cross-Section of Expected Stock Returns," Working Papers on Finance 1324, University of St. Gallen, School of Finance, revised Feb 2016.
• Stefan SIMEONOV & Teodor TODOROV, 2018. "Designing The Investment Profile Of The Shares Traded On The Bulgarian Stock Exchange In The Period From August 2016 To December 2017," Economics 21, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 70-100.
• Стефан Симеонов & Теодор Тодоров, 2018. "Формиране На Инвестиционен Профил За Акции, Търгувани На Българската Фондова Борса За Периода Август 2016 – Декември 2017," Economics 21, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 85-116.
• 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," CESifo Working Paper Series 6861, CESifo.
  • 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.
• Kai Schindelhauer & Chen Zhou, 2018. "Value-at-Risk prediction using option-implied risk measures," DNB Working Papers 613, Netherlands Central Bank, Research Department.
• Nadia Boussaha & Faycal Hamdi & Saïd Souam, 2018. "Multivariate Periodic Stochastic Volatility Models: Applications to Algerian dinar exchange rates and oil prices modeling," EconomiX Working Papers 2018-14, University of Paris Nanterre, EconomiX.
• Lang, Jan Hannes, 2018. "Cross-country linkages and spill-overs in early warning models for financial crises," Working Paper Series 2160, European Central Bank.
• Lang, Jan Hannes & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "A framework for early-warning modeling with an application to banks," Working Paper Series 2182, European Central Bank.
• Karnaukh, Nina, 2018. "The Dollar Ahead of FOMC Target Rate Changes," Working Paper Series 2018-14, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
• Ozkan Haykir, 2018. "Does MAX Anomaly Exist in Emerging Market: Evidence from the Turkish Stock Market?," International Journal of Economics and Financial Issues, Econjournals, vol. 8(2), pages 148-153.
• Issa Hijazeen & Ali Al-Assaf, 2018. "Dollarization in Jordan," International Journal of Economics and Financial Issues, Econjournals, vol. 8(2), pages 14-24.
• Sisili Rahman & Biplab Das & Tazrina Farah, 2018. "Identifying Spillover Effect & Bubble in Bangladeshi Asset Markets: An Analysis of Stock Market and Real Estate," International Journal of Economics and Financial Issues, Econjournals, vol. 8(6), pages 76-83.
• Kunlapath Sukcharoen & David Leatham, 2018. "Analyzing Extreme Comovements in Agricultural and Energy Commodity Markets Using a Regular Vine Copula Method," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 193-201.
• Andrikopoulos, Panagiotis & Khorasgani, Amir, 2018. "Predicting unlisted SMEs' default: Incorporating market information on accounting-based models for improved accuracy," The British Accounting Review, Elsevier, vol. 50(5), pages 559-573.
• Faria, Adriano & Almeida, Caio, 2018. "A hybrid spline-based parametric model for the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 72-94.
• Berger, Theo & Gençay, Ramazan, 2018. "Improving daily Value-at-Risk forecasts: The relevance of short-run volatility for regulatory quality assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 92(C), pages 30-46.
• Sikhosana, Ayanda & Aye, Goodness C., 2018. "Asymmetric volatility transmission between the real exchange rate and stock returns in South Africa," Economic Analysis and Policy, Elsevier, vol. 60(C), pages 1-8.
• Liu, Feng & Kalotay, Egon & Trück, Stefan, 2018. "Assessing sovereign default risk: A bottom-up approach," Economic Modelling, Elsevier, vol. 70(C), pages 525-542.
• Mo, Di & Gupta, Rakesh & Li, Bin & Singh, Tarlok, 2018. "The macroeconomic determinants of commodity futures volatility: Evidence from Chinese and Indian markets," Economic Modelling, Elsevier, vol. 70(C), pages 543-560.
• BenSaïda, Ahmed & Litimi, Houda & Abdallah, Oussama, 2018. "Volatility spillover shifts in global financial markets," Economic Modelling, Elsevier, vol. 73(C), pages 343-353.
• Dong, Manh Cuong & Tian, Shaonan & Chen, Cathy W.S., 2018. "Predicting failure risk using financial ratios: Quantile hazard model approach," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 204-220.
• Ruenzi, Stefan & Weigert, Florian, 2018. "Momentum and crash sensitivity," Economics Letters, Elsevier, vol. 165(C), pages 77-81.
  • Ruenzi, Stefan & Weigert, Florian, 2017. "Momentum and Crash Sensitivity," Working Papers on Finance 1801, University of St. Gallen, School of Finance.
• Koutmos, Dimitrios, 2018. "Bitcoin returns and transaction activity," Economics Letters, Elsevier, vol. 167(C), pages 81-85.
• González-Fernández, Marcos & González-Velasco, Carmen, 2018. "Can Google econometrics predict unemployment? Evidence from Spain," Economics Letters, Elsevier, vol. 170(C), pages 42-45.
• Lin, Qi & Lin, Xi, 2018. "Expected investment and the cross-section of stock returns," Economics Letters, Elsevier, vol. 172(C), pages 43-49.
• Koutmos, Dimitrios, 2018. "Liquidity uncertainty and Bitcoin’s market microstructure," Economics Letters, Elsevier, vol. 172(C), pages 97-101.
• Koutmos, Dimitrios, 2018. "Return and volatility spillovers among cryptocurrencies," Economics Letters, Elsevier, vol. 173(C), pages 122-127.
• Badshah, Ihsan & Bekiros, Stelios & Lucey, Brian M. & Uddin, Gazi Salah, 2018. "Asymmetric linkages among the fear index and emerging market volatility indices," Emerging Markets Review, Elsevier, vol. 37(C), pages 17-31.
• Stivers, Adam, 2018. "Equity premium predictions with many predictors: A risk-based explanation of the size and value factors," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 126-140.
• Faria, Gonçalo & Verona, Fabio, 2018. "Forecasting stock market returns by summing the frequency-decomposed parts," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 228-242.
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• Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
  • Rangan Gupta & Christian Pierdzioch & Andrew J. Vivian & Mark E. Wohar, 2018. "The Predictive Value of Inequality Measures for Stock Returns: An Analysis of Long-Span UK Data Using Quantile Random Forests," Working Papers 201809, University of Pretoria, Department of Economics.
• 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.
• Goodness Aye, 2018. "Causality between Economic Policy Uncertainty and Real Housing Returns in Emerging Economies: A Cross-Sample Validation Approach," Working Papers 201827, University of Pretoria, Department of Economics.
• 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.

2017

• William Barnett & Liting Su, 2017. "Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201707, University of Kansas, Department of Economics, revised Oct 2017.
• Hideharu Funahashi & Masaaki Kijima, 2017. "Does the Hurst index matter for option prices under fractional volatility?," Annals of Finance, Springer, vol. 13(1), pages 55-74, February.
• Takayuki Morimoto & Yoshinori Kawasaki, 2017. "Forecasting Financial Market Volatility Using a Dynamic Topic Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(3), pages 149-167, September.
• Mohammadreza Janvisloo Alizadeh & Reza Sherafatian-Jahromi, 2017. "Merton Model and Capital Measurement in Commercial Banks: A Case Study of Selected Emerging Countries in Southeast Asia," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(3), pages 169-191, September.
• D. V. Boreiko & Y. M. Kaniovski & G. Ch. Pflug, 2017. "Numerical Modeling of Dependent Credit Rating Transitions with Asynchronously Moving Industries," Computational Economics, Springer;Society for Computational Economics, vol. 49(3), pages 499-516, March.
• Daniel Mantilla-García & Vijay Vaidyanathan, 2017. "Predicting stock returns in the presence of uncertain structural changes and sample noise," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(3), pages 357-391, August.
• Marielle Brunette & Arnaud Dragicevic & Jonathan Lenglet & Alexandra Niedzwiedz & Vincent Badeau & Jean-Luc Dupouey, 2017. "Biotechnical portfolio management of mixed-species forests," Journal of Bioeconomics, Springer, vol. 19(2), pages 223-245, July.
  • Marielle Brunette & Arnaud Dragicevic & Jonathan Lenglet & Alexandra Niedzwiedz & Vincent Badeau & Jean-Luc Dupouey, 2017. "Biotechnical portfolio management of mixed-species forests," Post-Print hal-01530808, HAL.
• Hideharu Funahashi & Masaaki Kijima, 2017. "A unified approach for the pricing of options relating to averages," Review of Derivatives Research, Springer, vol. 20(3), pages 203-229, October.
• Dorra Najar, 2017. "Private equity managers’ fees: estimation and sensitivity analysis using Monte Carlo simulation," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 239-263, January.
• Meng-Jou Lu & Cathy Yi-Hsuan Chen & Wolfgang Karl Härdle, 2017. "Copula-based factor model for credit risk analysis," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 949-971, November.
• Diana-Maria Chis & Cristina Ciumas & Emilia-Anuta Corovei, 2017. "Equilibrium Prices Of Guarantees Under Unit-Linked Life Insurance Contracts," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 9(2), pages 47-53, June.
• Ouael EL JEBARI & Abdelati HAKMAOUI, 2017. "Modeling persistence of volatility in the Moroccan exchange market using a fractionally integrated EGARCH," Turkish Economic Review, KSP Journals, vol. 4(4), pages 388-399, December.
• Jaydip SEN & Tamal DATTA CHAUDHURI, 2017. "A Predictive Analysis of the Indian FMCG Sector using Time Series Decomposition - Based Approach," Journal of Economics Library, KSP Journals, vol. 4(2), pages 206-226, June.
• Katarina Juselius, 2017. "Using a Theory-Consistent CVAR Scenario to Test an Exchange Rate Model Based on Imperfect Knowledge," Econometrics, MDPI, Open Access Journal, vol. 5(3), pages 1-20, July.
  • Katarina Juselius, 2017. "Using a Theory-Consistent CVAR Scenario to Test an Exchange Rate Model Based on Imperfect Knowledge," Discussion Papers 17-07, University of Copenhagen. Department of Economics.
• Katarina Juselius, 2017. "A CVAR scenario for a standard monetary model using theory-consistent expectations," Discussion Papers 17-08, University of Copenhagen. Department of Economics.
• Dr. Tobias Böing & Prof. Dr. Georg Stadtmann, 2017. "Money Growth and Aggregate Stock Returns," Credit and Capital Markets, Credit and Capital Markets, vol. 50(4), pages 489-508.
• José Hernández & Fernando Carvajal-Serna, 2017. "Risk coverage in the face of hydrological variability in a run-off hydraulic power plant using weather derivatives," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 87, pages 191-222, Julio - D.
• 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?," LEO Working Papers / DR LEO 2493, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
  • 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.
• García, Sonía & Pavía, José M. & Veres Ferrer, Ernesto Jesús & Lledó, Josep, 2017. "Una herramienta de cálculo para la predicción de los Requerimientos de Capital en seguros de vida/A tool for Predicting Solvency Capital Requirements in Life Insurance," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 35, pages 367-394, Mayo.
• Mohseni, Hossein & Botshekan, mohammad Hashem, 2017. "Volatility Spillover and Dynamic conditional correlation of exchange rate on banks stock index (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. 10(31), pages 1-28, April.
• mirzadeh, fatemeh, 2017. "Check the Efficiency of Futures Gold Coin: The Role of Maturity and Open Commitment Position (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. 10(32), pages 227-246, July.
• Samit Paul & Madhusudan Karmakar, 2017. "Relative Efficiency of Component GARCH-EVT Approach in Managing Intraday Market Risk," Multinational Finance Journal, Multinational Finance Journal, vol. 21(4), pages 247-283, December.
• Marcell Béli & Kata Váradi, 2017. "A possible methodology for determining the initial margin," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 16(2), pages 119-147.
• Antoine Kornprobst, 2017. "Winning Investment Strategies Based on Financial Crisis Indicators," Documents de travail du Centre d'Economie de la Sorbonne 17039, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• 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.
• Jiti Gao & Kai Xia, 2017. "Heterogeneous panel data models with cross-sectional dependence," Monash Econometrics and Business Statistics Working Papers 16/17, Monash University, Department of Econometrics and Business Statistics.
  • Jiti Gao & Kai Xia & Huanjun Zhu, 2019. "Heterogeneous Panel Data Models with Cross-Sectional Dependence," Working Papers 2019-07-09, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
• Biqing Cai & Jiti Gao, 2017. "A simple nonlinear predictive model for stock returns," Monash Econometrics and Business Statistics Working Papers 18/17, Monash University, Department of Econometrics and Business Statistics.
• Nithi Sopitpongstorn & Param Silvapulle & Jiti Gao, 2017. "Local logit regression for recovery rate," Monash Econometrics and Business Statistics Working Papers 19/17, Monash University, Department of Econometrics and Business Statistics.
• Oscar De la Torre Torres & Mª Isabel Martínez Torre Enciso, 2017. "Is socially responsible investment useful in Mexico? A multi-factor and ex-ante review," Contaduría y Administración, Accounting and Management, vol. 62(1), pages 222-238, Enero-Mar.
• Juan Benjamin Duarte Duarte & Leonardo Hernán Talero Sarmiento & Katherine Julieth Sierra Suárez, 2017. "Evaluación del efecto de la psicología del inversionista en un mercado bursátil artificial mediante su grado de eficiencia," Contaduría y Administración, Accounting and Management, vol. 62(4), pages 1345-1360, Octubre-D.
• Juan Benjamin Duarte Duarte & Leonardo Hernán Talero Sarmiento & Katherine Julieth Sierra Suárez, 2017. "Evaluation of the effect of investor psychology on an artificial stock market through its degree of efficiency," Contaduría y Administración, Accounting and Management, vol. 62(4), pages 1361-1376, Octubre-D.
• Marcin Flotyński, 2017. "Basel III long-term liquidity standard in the context of the profitability of banks and volatility of their stock prices – quantitative analysis for the euro area," NBP Working Papers 274, Narodowy Bank Polski, Economic Research Department.
• 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.
• William N. Goetzmann & Dasol Kim, 2018. "Negative bubbles: What happens after a crash," European Financial Management, European Financial Management Association, vol. 24(2), pages 171-191, March.
  • William N. Goetzmann & Dasol Kim, 2017. "Negative Bubbles: What Happens After a Crash," NBER Working Papers 23830, National Bureau of Economic Research, Inc.
• Valentin Haddad & Serhiy Kozak & Shrihari Santosh, 2017. "Predicting Relative Returns," NBER Working Papers 23886, National Bureau of Economic Research, Inc.
• Igor ENICOV, 2017. "Applying Petri Nets Extensions To Modeling Commercial Bank Activity," ECONOMY AND SOCIOLOGY: Theoretical and Scientifical Journal, Socionet;Complexul Editorial "INCE", issue 1-2, pages 90-94.
• Júlio Lobão, 2017. "O efeito de smart money nos fundos de investimento: o caso português [The smart money effect in mutual funds: the Portuguese case]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 27(1), pages 241-270, January-A.
• Abdinardo Moreira Barreto de Oliveira & Joséte Florencio dos Santos, 2017. "Previsões de razões ótimas de hedge para a manga exportada brasileira [Forecasting of optimal hedge ratios for the Brazilian exported mango]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 27(3), pages 671-703, September.
• Bekiros, Stelios & Loukeris, Nikolaos & Eleftheriadis, Iordanis, 2017. "Portfolio Optimization With Investor Utility Preference of Higher-Order Moments: A Behavioral Approach," Review of Behavioral Economics, now publishers, vol. 4(2), pages 83-106, September.
• 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.
  • 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.
  • Mark Paddrik & Peyton Young, 2018. "How Safe are Central Counterparties in Derivatives Markets?," 2018 Meeting Papers 934, Society for Economic Dynamics.
• 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.
  • Xiao, Tim, 2017. "A New Model for Pricing Collateralized Financial Derivatives," SocArXiv fvdzh, Center for Open Science.
  • 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," MPRA Paper 87088, University Library of Munich, Germany.
• Xun Gong & Chunmei Lin & Remco C. J. Zwinkels, 2017. "Forecasting Crashes: Correlated Fund Flows and Skewness in Stock Returns," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(1), pages 36-61.
• João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(2), pages 247-285.
• Caio Almeida & Kym Ardison & René Garcia & Jose Vicente, 2017. "Nonparametric Tail Risk, Stock Returns, and the Macroeconomy," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(3), pages 333-376.
  • René Garcia & Caio Almeida & Kym Ardison & Jose Vicente, 2016. "Nonparametric Tail Risk, Stock Returns and the Macroeconomy," CIRANO Working Papers 2016s-20, CIRANO.
• 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.
• Caio Almeida & Kym Ardison & René Garcia & Jose Vicente, 2017. "Rejoinder on: Nonparametric Tail Risk, Stock Returns, and the Macroeconomy," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(3), pages 418-426.
• Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2017. "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(4), pages 649-677.
  • Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2015. "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Tinbergen Institute Discussion Papers 15-140/III, Tinbergen Institute, revised 19 Apr 2017.
• Egon A. Kalotay & Edward I. Altman, 2017. "Intertemporal Forecasts of Defaulted Bond Recoveries and Portfolio Losses," Review of Finance, European Finance Association, vol. 21(1), pages 433-463.
• Michael S. O’Doherty & N. E. Savin & Ashish Tiwari, 2017. "Hedge Fund Replication: A Model Combination Approach," Review of Finance, European Finance Association, vol. 21(4), pages 1767-1804.
• Mark Paddrik & H. Peyton Young, 2016. "Contagion in the CDS Market," Working Papers 16-12, Office of Financial Research, US Department of the Treasury.
  • H Peyton Young & Mark Paddrik & Sriram Rajan, 2017. "Contagion in the CDS Market," Economics Series Working Papers 821, University of Oxford, Department of Economics.
• 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.
  • 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.
  • Mark Paddrik & Peyton Young, 2018. "How Safe are Central Counterparties in Derivatives Markets?," 2018 Meeting Papers 934, Society for Economic Dynamics.
• 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.
• Rania Jammazi & Duc Khuong Nguyen, 2017. "Estimating and forecasting portfolio’s Value-at-Risk with wavelet-based extreme value theory: Evidence from crude oil prices and US exchange rates," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1352-1362, November.
• 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.
  • 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.
• Faria, Gonçalo & Verona, Fabio, 2018. "Forecasting stock market returns by summing the frequency-decomposed parts," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 228-242.
  • Gonçalo Faria & Fabio Verona, 2016. "Forecasting stock market returns by summing the frequency-decomposed parts," Working Papers de Economia (Economics Working Papers) 05, Católica Porto Business School, Universidade Católica Portuguesa.
  • Gonçalo Faria & Fabio Verona, 2017. "Forecasting stock market returns by summing the frequency-decomposed parts," CEF.UP Working Papers 1702, Universidade do Porto, Faculdade de Economia do Porto.
  • Faria, Gonçalo & Verona, Fabio, 2016. "Forecasting stock market returns by summing the frequency-decomposed parts," Research Discussion Papers 29/2016, Bank of Finland.
• Ganna Gridina, 2017. "Фінансовий Лізинг: Проблеми Та Перспективи Розвитку В Україні [Financial Leasing: Problems and Prospects of Development in Ukraine]," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 3(9(26)), pages 3019-3025, September.
• 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.
  • Chong, Terence Tai-Leung & Cao, Bingqing & Wong, Wing Keung, 2017. "A Principal Component Approach to Measuring Investor Sentiment in Hong Kong," MPRA Paper 77147, University Library of Munich, Germany.
• 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.
  • Pönkä, Harri, 2017. "Sentiment and sign predictability of stock returns," MPRA Paper 81861, University Library of Munich, Germany.
• 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.
  • Jin, Xin & Maheu, John M & Yang, Qiao, 2017. "Bayesian Parametric and Semiparametric Factor Models for Large Realized Covariance Matrices," MPRA Paper 81920, University Library of Munich, Germany.
  • Xin Jin & John M. Maheu & Qiao Yang, 2018. "Bayesian Parametric and Semiparametric Factor Models for Large Realized Covariance Matrices," Working Paper series 18-02, Rimini Centre for Economic Analysis.
• 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, 06-2017.
  • 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.
  • 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.
• 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 Warn Lekfuangfu, 2017. "Predicting the Present Revisited: The Case of Thailand," PIER Discussion Papers 70, Puey Ungphakorn Institute for Economic Research, revised Oct 2017.
• 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.
  • 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.
• 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.
  • 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.
• Ian W. R. Martin & Christian Wagner, 2019. "What Is the Expected Return on a Stock?," Journal of Finance, American Finance Association, vol. 74(4), pages 1887-1929, August.
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• Daniel J. Wilson, 2019. "Clearing the Fog: The Predictive Power of Weather for Employment Reports and Their Asset Price Responses," American Economic Review: Insights, American Economic Association, vol. 1(3), pages 373-388, December.
  • Daniel J. Wilson, 2017. "Clearing the Fog: The Predictive Power of Weather for Employment Reports and their Asset Price Responses," Working Paper Series 2017-13, Federal Reserve Bank of San Francisco.
• 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.
• 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.
  • 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.
• Serhat YÜKSEL, İsmail CANÖZ, Zafer ADALI, 2017. "Türkiye’deki Mevduat Bankalarının Fiyat-Kazanç Oranını Etkileyen Değişkenlerin Mars Yöntemi İle Belirlenmesi," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 3.
• Ionut Cosmin Nastase, 2017. "Forecasting extreme events on financial markets," Scientific Papers 0003, Institute of Financial Studies.
• Katarina Juselius, 2017. "Using a Theory-Consistent CVAR Scenario to Test an Exchange Rate Model Based on Imperfect Knowledge," Econometrics, MDPI, Open Access Journal, vol. 5(3), pages 1-20, July.
  • Katarina Juselius, 2017. "Using a Theory-Consistent CVAR Scenario to Test an Exchange Rate Model Based on Imperfect Knowledge," Discussion Papers 17-07, University of Copenhagen. Department of Economics.
• 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.
  • Chong, Terence Tai-Leung & Cao, Bingqing & Wong, Wing Keung, 2017. "A Principal Component Approach to Measuring Investor Sentiment in Hong Kong," MPRA Paper 77147, University Library of Munich, Germany.
• 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.
• Amal Hamrouni & Ramzi Benkraiem & Majdi Karmani, 2017. "Voluntary information disclosure and sell-side analyst coverage intensity," Review of Accounting and Finance, Emerald Group Publishing, vol. 16(2), pages 260-280, May.
  • Hamrouni Amal & Ramzi Benkraiem & Karmani Majdi, 2017. "Voluntary information disclosure and sell-side analyst coverage intensity," Post-Print hal-01528402, HAL.
• Marielle Brunette & Arnaud Dragicevic & Jonathan Lenglet & Alexandra Niedzwiedz & Vincent Badeau & Jean-Luc Dupouey, 2017. "Biotechnical portfolio management of mixed-species forests," Journal of Bioeconomics, Springer, vol. 19(2), pages 223-245, July.
  • Marielle Brunette & Arnaud Dragicevic & Jonathan Lenglet & Alexandra Niedzwiedz & Vincent Badeau & Jean-Luc Dupouey, 2017. "Biotechnical portfolio management of mixed-species forests," Post-Print hal-01530808, HAL.
• Charles, Amélie & Darné, Olivier, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Energy Economics, Elsevier, vol. 67(C), pages 508-519.
  • Amélie Charles & Olivier Darné, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Post-Print hal-01598141, HAL.
• 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?," LEO Working Papers / DR LEO 2493, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
  • 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.
• Xiao, Tim, 2017. "A New Model for Pricing Collateralized Financial Derivatives," SocArXiv fvdzh, Center for Open Science.
  • 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.
• 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.
• Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2017. "How to Estimate Beta?," Hannover Economic Papers (HEP) dp-617, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Fabian Hollstein & Marcel Prokopczuk & Chardin Wese Simen, 2019. "The term structure of systematic and idiosyncratic risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(4), pages 435-460, April.
  • Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2017. "The Term Structure of Systematic and Idiosyncratic Risk," Hannover Economic Papers (HEP) dp-618, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Fabian Hollstein & Marcel Prokopczuk & Björn Tharann & Chardin Wese Simen, 2019. "Predicting the equity market with option-implied variables," The European Journal of Finance, Taylor & Francis Journals, vol. 25(10), pages 937-965, July.
  • Prokopczuk, Marcel & Tharann, Björn & Wese Simen, Chardin, 2017. "Predicting the Equity Market with Option Implied Variables," Hannover Economic Papers (HEP) dp-619, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Hollstein, Fabian & Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2019. "International tail risk and World Fear," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 244-259.
  • Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2017. "International Tail Risk and World Fear," Hannover Economic Papers (HEP) dp-620, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
• Lundström, Christian, 2017. "On the Returns of Trend-Following Trading Strategies," Umeå Economic Studies 948, Umeå University, Department of Economics.
• Hideyuki Takamizawa, 2018. "A term structure model of interest rates with quadratic volatility," Quantitative Finance, Taylor & Francis Journals, vol. 18(7), pages 1173-1198, July.
  • TAKAMIZAWA, Hideyuki, 2017. "A Term Structure Model of Interest Rates with Quadratic Volatility," Working Paper Series G-1-18, Hitotsubashi University Center for Financial Research.
• Wolfgang Karl Härdle & Cathy Yi-Hsuan Chen, 2017. "Data Science & Digital Society," SFB 649 Discussion Papers SFB649DP2017-010, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
• Ya Qian & Wolfgang Karl Härdle & Cathy Yi-Hsuan Chen, 2017. "Industry Interdependency Dynamics in a Network Context," SFB 649 Discussion Papers SFB649DP2017-012, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
• Nataliya Trusova, 2017. "Structure of the Total Financial Potential of Agriculture: Regional Aspect," Accounting and Finance, Institute of Accounting and Finance, issue 3, pages 119-125, September.
• Nataliya Trusova, 2017. "Environment of Multifactorial Risk in the Financial System of Agribusiness Enterprises," Accounting and Finance, Institute of Accounting and Finance, issue 4, pages 127-138, December.
• Sonia Benito Muela & Carmen López-Martín & Mª Ángeles Navarro, 2017. "The Role of the Skewed Distributions in the Framework of Extreme Value Theory (EVT)," International Business Research, Canadian Center of Science and Education, vol. 10(11), pages 88-102, November.
• Wagner Piazza Gaglianone & Waldyr Dutra Areosa, 2016. "Financial Conditions Indicators for Brazil," Working Papers Series 435, Central Bank of Brazil, Research Department.
  • Gaglianone, Wagner Piazza & Dutra Areosa, Waldyr, 2018. "Financial Conditions Indicator for Brazil," IDB Publications (Working Papers) 8488, Inter-American Development Bank.
• Aditya Anta Taruna & Cicilia A. Harun, 2017. "Micro Risk Assessment Dalam Estimasi Risiko Kredit Perbankan," Working Papers WP/3/2017, Bank Indonesia.
• Luo Wang & Bin Li & Rakesh Gupta & Jen-Je Su & Benjamin Liu, 2017. "Return Predictability in Australian Managed Funds," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 16(1), pages 1-19, June.
• Gabriel Rodriguez, 2017. "Selecting between Autoregressive Conditional Heteroskedasticity Models: An Empirical Application to the Volatility of Stock Returns in Peru," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 32(1), pages 69-94, April.
• Oscar Valdemar De la Torre Torres & Luis Guadalupe Macías Trejo, 2017. "Los beneficios de la inversión socialmente responsable en el desempeño de fondos de pensiones mexicanos," 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. 12(3), pages 67-87, Julio-Sep.
• Alberto Saavedra Espinosa, 2017. "Estimation of Market Risk Measures in Mexican Financial Time Series," 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. 12(4), pages 365-388, Octubre-D.
• 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 Sciencess, 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 Sciencess, 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 202," 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.

2016

• Tom Engsted & Thomas Q. Pedersen, 2016. "The predictive power of dividend yields for future infl?ation: Money illusion or rational causes?," CREATES Research Papers 2016-11, Department of Economics and Business Economics, Aarhus University.
• 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.
  • Hyeongwoo Kim & Hyun Hak Kim & Wen Shi, 2015. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Working Papers 2015-30, Economic Research Institute, Bank of Korea.
  • Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2016. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2016-10, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2019. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2019-02, Department of Economics, Auburn University.
  • Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2018-06, Department of Economics, Auburn University.
  • Kim, Hyeongwoo & Shi, Wen & Kim, Hyun Hak, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," MPRA Paper 89768, 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.
  • 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.
  • 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.
  • Kim, Hyeongwoo & Shi, Wen, 2018. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," MPRA Paper 89766, University Library of Munich, Germany.
• Alexis Bienvenüe & Christian Y. Robert, 2016. "Systemic Tail Risk Distribution," Annals of Economics and Statistics, GENES, issue 123-124, pages 29-52.
• Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2016. "Sparse Graphical Vector Autoregression: A Bayesian Approach," Annals of Economics and Statistics, GENES, issue 123-124, pages 333-361.
  • Roberto Casarin & Daniel Felix Ahelegbey & Monica Billio, 2014. "Sparse Graphical Vector Autoregression: A Bayesian Approach," Working Papers 2014:29, Department of Economics, University of Venice "Ca' Foscari".
• Tobias Adrian & Markus K. Brunnermeier, 2016. "CoVaR," American Economic Review, American Economic Association, vol. 106(7), pages 1705-1741, July.
  • Tobias Adrian & Markus K. Brunnermeier, 2008. "CoVaR," Staff Reports 348, Federal Reserve Bank of New York.
  • Tobias Adrian & Markus K. Brunnermeier, 2011. "CoVaR," NBER Working Papers 17454, National Bureau of Economic Research, Inc.
• Shah, Anand, 2016. "Pricing of Rainfall Insurance in India using Gaussian and t Copulas," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236288, Agricultural Economics Society.
• Vlasta Kašparovská & Jana Laštůvková & Luboš Střelec, 2016. "Is the Exchange Rate a Factor of Bank Liquidity Changes? Study of the Czech Republic," Society and Economy, Akadémiai Kiadó, Hungary, vol. 38(3), pages 359-374, September.
• 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.
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• BOUSALAM, Issam & HAMZAOUI, Moustapha & ZOUHAYR, Otman, 2016. "Forecasting Daily Stock Volatility Using GARCH-CJ Type Models with Continuous and Jump Variation," MPRA Paper 69636, University Library of Munich, Germany.
• Thomadakis, Apostolos, 2016. "Do Combination Forecasts Outperform the Historical Average? Economic and Statistical Evidence," MPRA Paper 71589, University Library of Munich, Germany.
• Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2016. "Everything you always wanted to know about bitcoin modelling but were afraid to ask. I," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 44, pages 5-24.
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• Fantazzini, Dean, 2016. "The oil price crash in 2014/15: Was there a (negative) financial bubble?," Energy Policy, Elsevier, vol. 96(C), pages 383-396.
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• Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2016. "Forecast in Capital Markets," MPRA Paper 72286, 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.
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• 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.
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• 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.
  • Barnett, William & Su, Liting, 2016. "Risk adjustment of the credit-card augmented Divisia monetary aggregates," MPRA Paper 73248, University Library of Munich, Germany.
  • 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.
• 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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• Maheu, John M & Shamsi, Azam, 2016. "Nonparametric Dynamic Conditional Beta," MPRA Paper 73764, University Library of Munich, Germany.
• Michaelides, Panayotis G. & Tsionas, Efthymios & Konstantakis, Konstantinos, 2016. "Financial Bubble Detection : A Non-Linear Method with Application to S&P 500," MPRA Paper 74477, University Library of Munich, Germany.
• Degiannakis, Stavros & Potamia, Artemis, 2017. "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: Inter-day versus intra-day data," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 176-190.
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• Byrne, Joseph & Fu, Rong, 2016. "Stock Return Prediction with Fully Flexible Models and Coefficients," MPRA Paper 75366, University Library of Munich, Germany.
• 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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• Ripamonti, Alexandre, 2016. "Corwin-Schultz bid-ask spread estimator in the Brazilian stock market," MPRA Paper 79459, University Library of Munich, Germany.
• Parker, Edgar, 2016. "Flash Crashes: The Role of Information Processing Based Subordination and the Cauchy Distribution in Market Instability," MPRA Paper 80039, University Library of Munich, Germany.
• Širůček, Martin & Galečka, Ondřej, 2016. "Alternative Evaluation of S&P 500 index in Relation to Quantitative Easing," MPRA Paper 80526, University Library of Munich, Germany.
• elias elhannani, farah & boussalem, abou bakr & Benbouziane, Mohamed, 2016. "Financial development and the oil curse: Evidence from Algeria," MPRA Paper 81866, University Library of Munich, Germany, revised May 2016.
• Al Janabi, Mazin A.M. & Arreola Hernandez, Jose & Berger, Theo & Nguyen, Duc Khuong, 2017. "Multivariate dependence and portfolio optimization algorithms under illiquid market scenarios," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1121-1131.
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• Olkhov, Victor, 2016. "On Hidden Problems of Option Pricing," MPRA Paper 87173, University Library of Munich, Germany.
• Zaman, Gheorghe & Georgescu, George, 2016. "Stabilitatea financiară a României. Determinanți și proiecții pentru următoarele două decenii [Financial stability in Romania. Determinants and projections for the two next decades]," MPRA Paper 96078, University Library of Munich, Germany.
• Jiří Šindelář, 2016. "Quantitative Forecast of Demand for Life Insurance in CR in 2015-2018: Macroeconomic Growth versus Industry Restructuring [Kvantitativní prognóza poptávky po životním pojištění v ČR v letech 2015-2," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2016(1), pages 5-23.
• Petr Makovský, 2016. "The relationship between the real economy and financial sector regarding technological bubbles," Ekonomika a Management, Prague University of Economics and Business, vol. 2016(3).
• Jan Hanousek & Evžen Kočenda & Jan Novotný, 2016. "Shluková analýza skoků na kapitálových trzích [Cluster Analysis of Jumps on Capital Markets]," Politická ekonomie, Prague University of Economics and Business, vol. 2016(2), pages 127-144.
• Jan Hanousek & Anastasiya Shamshur & Jiří Trešl, 2016. "Vliv korupčního prostředí na efektivitu firem v nových zemích Evropské unie [Corruption and Firm Efficiency in New EU Countries]," Politická ekonomie, Prague University of Economics and Business, vol. 2016(8), pages 905-921.
• Leslie G. Manison & Savvakis C. Savvides, 2016. "Towards Sustainable Growth: Rebuilding the Foundations of the Cyprus Economy," Development Discussion Papers 2016-07, JDI Executive Programs.
• Savvakis C. Savvides, 2016. "Overcoming Private Debt: Unblocking and rebuilding the loan burdened real economy in Cyprus," Development Discussion Papers 2016-08, JDI Executive Programs.
• Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2016. "Volatility Dependent Dynamic Equicorrelation," NCER Working Paper Series 111, National Centre for Econometric Research.
• Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Dundee Discussion Papers in Economics 293, Economic Studies, University of Dundee.
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• David, Joel M. & Simonovska, Ina, 2016. "Correlated beliefs, returns, and stock market volatility," Journal of International Economics, Elsevier, vol. 99(S1), pages 58-77.
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• Jensen, Christian Skov & Lando, David & Pedersen, Lasse Heje, 2019. "Generalized recovery," Journal of Financial Economics, Elsevier, vol. 133(1), pages 154-174.
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• Li, Jiahan & Tsiakas, Ilias, 2017. "Equity premium prediction: The role of economic and statistical constraints," Journal of Financial Markets, Elsevier, vol. 36(C), pages 56-75.
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• Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2016. "Everything you always wanted to know about bitcoin modelling but were afraid to ask. I," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 44, pages 5-24.
  • Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2016. "Everything you always wanted to know about bitcoin modelling but were afraid to ask," MPRA Paper 71946, University Library of Munich, Germany, revised 2016.
• Emekter, Riza & Jirasakuldech, Benjamas, 2016. "A Study of Nonlinear Dynamics in Equity Market Index: Evidence from Turkey," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 7(1), pages 1-19, January.
• Tuna, İsmail & Karaca, Süleyman Serdar, 2016. "Determining the Firm Specific Factors Affecting the Capital Increase," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 7(1), pages 89-105, January.
• Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary," Studies in Applied Economics 59, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
• 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," MPRA Paper 73248, University Library of Munich, Germany.
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  • 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.
• Velásquez, Mateo & Gutiérrez , Juan & Almonacid , Paula, 2016. "Calibración de parámetros de los modelos de tasas de interés NS y NSS para Colombia: una nota técnica," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 21(41), pages 73-80.
• Hongfeng Peng & Xiaoyu Tan & Yi Chen, 2016. "Discretion of Dynamic Position Adjustment in Hedging Strategy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 86-101, June.
• Achim BACKHAUS & Aliya ZHAKANOVA ISIKSAL, 2016. "The Impact of Momentum Factors on Multi Asset Portfolio," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 146-169, December.
• Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
• Katherine Uylangco & Siqiwen Li, 2016. "An evaluation of the effectiveness of Value-at-Risk (VaR) models for Australian banks under Basel III," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 699-718, November.
• Rosales Contreras, Jorge, 2016. "Intervalos de confianza para VaR y ES, y su aplicación al mercado colombiano," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 6(1), pages 55-82, enero-jun.
• Pareja Vasseur, Julián & Mejia Aguirre, Mauricio & Gallego Gómez, Marcos, 2016. "Evaluación mediante opciones reales de proyectos de inversión en el sector de distribución de combustibles. / Investment projects evaluation through real option on the fuel distribution sector," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 6(2), pages 219-246, julio-dic.
• Pareja Vasseur, Julián & Mejia Aguirre, Mauricio & Gallego Gómez, Marcos, 2016. "Evaluación mediante opciones reales de proyectos de inversión en el sector de distribución de combustibles. / Investment projects evaluation through real option on the fuel distribution sector," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 6(2), pages 219-246, julio-dic.
• Toni Vide, 2016. "Does It Pay To Be Good? An Analysis Of Vice And Virtue Stock Performance In The Eurozone," Faculty of Management Working Paper Series 12016, University of Warsaw, Faculty of Management.
• Toni Vide, 2016. "Does it pay to be good? An analysis of vice and virtue stock performance in the Eurozone," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(6), pages 113-125, June.
• Rafa³ Cieslik, 2016. "Effect of Earnings Quality on the Returns-Earnings Relationship: Evidence from the Warsaw Stock Exchange (Wplyw jakosci zysku na zaleznosc pomiedzy zyskiem a stopa zwrotu z akcji na przykladzie GPW w ," Research Reports, University of Warsaw, Faculty of Management, vol. 2(22), pages 60-77.
• Boyan Lomev & Nikolay Netov, 2016. "Bulgarian stock market and market risk forecasting under long memory in returns," Yearbook of the Faculty of Economics and Business Administration, Sofia University, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria, vol. 13(1), pages 185-200, September.
• Taha Bahadır SARAÇ & Ömer İSKENDEROĞLU & Saffet AKDAĞ, 2016. "Yerli ve Yabancı Yatırımcılara Ait Risk İştahlarının İncelenmesi: Türkiye Örneği," Sosyoekonomi Journal, Sosyoekonomi Society, issue 24(30).
• Bruno Cara Giovannetti & Elias Cavalcante Filho, Fernando Daniel Chague, Rodrigo de Losso da Silveira Bueno, 2016. "Risk premia estimation in Brazil: wait until 2041," Working Papers, Department of Economics 2016_38, University of São Paulo (FEA-USP).
• Tetsuya Takaishi, 2016. "Dynamical cross-correlation of multiple time series Ising model," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 455-468, December.
• Yoshifumi Tahira & Takayuki Mizuno, 2016. "Trading strategy of a stock index based on the frequency of news releases for listed companies," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 437-444, December.
• Yudong Wang & Li Liu, 2016. "Crude oil and world stock markets: volatility spillovers, dynamic correlations, and hedging," Empirical Economics, Springer, vol. 50(4), pages 1481-1509, June.
• Sagi Akron, 2016. "Business cycles and the expectations of short-term central bank rates in light of Construal Level Theory," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 171-187, August.
• Lukito Adi Nugroho, 2016. "Franchise ownership redirection: real options perspective," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-11, December.
• Roy L. Hayes & Jingwei Wu & Ruijra Chaysiri & Jean Bae & Peter A. Beling & William T. Scherer, 2016. "Effects of time horizon and asset condition on the profitability of technical trading rules," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(1), pages 41-59, January.
• Roy Hayes & Jingwei Wu & Ruijra Chaysiri & Jean Bae & Peter Beling & William Scherer, 2016. "Effects of time horizon and asset condition on the profitability of technical trading rules," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(1), pages 41-59, January.
• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• Konstantinidi, Eirini & Skiadopoulos, George, 2016. "How does the market variance risk premium vary over time? Evidence from S&P 500 variance swap investment returns," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 62-75.
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• Platikanova, Petya & Mattei, Marco Maria, 2016. "Firm geographic dispersion and financial analysts’ forecasts," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 71-89.
• Focardi, Sergio M. & Fabozzi, Frank J. & Mitov, Ivan K., 2016. "A new approach to statistical arbitrage: Strategies based on dynamic factor models of prices and their performance," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 134-155.
• De Genaro, Alan, 2016. "Systematic multi-period stress scenarios with an application to CCP risk management," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 119-134.
• Zhu, Wenjun & Wang, Chou-Wen & Tan, Ken Seng, 2016. "Structure and estimation of Lévy subordinated hierarchical Archimedean copulas (LSHAC): Theory and empirical tests," Journal of Banking & Finance, Elsevier, vol. 69(C), pages 20-36.
• Hirtle, Beverly & Kovner, Anna & Vickery, James & Bhanot, Meru, 2016. "Assessing financial stability: The Capital and Loss Assessment under Stress Scenarios (CLASS) model," Journal of Banking & Finance, Elsevier, vol. 69(S1), pages 35-55.
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• Koliai, Lyes, 2016. "Extreme risk modeling: An EVT–pair-copulas approach for financial stress tests," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 1-22.
• Shynkevich, Andrei, 2016. "Predictability in bond returns using technical trading rules," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 55-69.
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• Butaru, Florentin & Chen, Qingqing & Clark, Brian & Das, Sanmay & Lo, Andrew W. & Siddique, Akhtar, 2016. "Risk and risk management in the credit card industry," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 218-239.
• Kapinos, Pavel & Gurley-Calvez, Tami & Kapinos, Kandice, 2016. "(Un)expected housing price changes: Identifying the drivers of small business finance," Journal of Economics and Business, Elsevier, vol. 84(C), pages 79-94.
• Herskovic, Bernard & Kelly, Bryan & Lustig, Hanno & Van Nieuwerburgh, Stijn, 2016. "The common factor in idiosyncratic volatility: Quantitative asset pricing implications," Journal of Financial Economics, Elsevier, vol. 119(2), pages 249-283.
  • Bernard Herskovic & Bryan T. Kelly & Hanno Lustig & Stijn Van Nieuwerburgh, 2014. "The Common Factor in Idiosyncratic Volatility: Quantitative Asset Pricing Implications," NBER Working Papers 20076, National Bureau of Economic Research, Inc.
• Beckmann, Joscha & Schüssler, Rainer, 2016. "Forecasting exchange rates under parameter and model uncertainty," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 267-288.
• Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
  • Buncic, Daniel & Piras, Gion Donat, 2014. "Heterogeneous Agents, the Financial Crisis and Exchange Rate Predictability," Economics Working Paper Series 1436, University of St. Gallen, School of Economics and Political Science, revised Oct 2015.
• Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2016. "Exchange rate predictability in a changing world," Journal of International Money and Finance, Elsevier, vol. 62(C), pages 1-24.
  • Byrne, Joseph P & Korobilis, Dimitris & Ribeiro, Pinho J, 2014. "Exchange Rate Predictability in a Changing World," MPRA Paper 53684, University Library of Munich, Germany.
  • Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2014. "Exchange Rate Predictability in a Changing World," SIRE Discussion Papers 2014-021, Scottish Institute for Research in Economics (SIRE).
  • Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2014. "Exchange Rate Predictability in a Changing World," Working Paper series 06_14, Rimini Centre for Economic Analysis.
  • Joseph Byrne & Dimitris Korobilis & Pinho Ribeiro, 2014. "Exchange Rate Predictability in a Changing World," Papers 1403.0627, arXiv.org.
  • Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2014. "Exchange Rate Predictability in a Changing World," Working Papers 2014_03, Business School - Economics, University of Glasgow.
• Choroś-Tomczyk, Barbara & Härdle, Wolfgang Karl & Okhrin, Ostap, 2016. "A semiparametric factor model for CDO surfaces dynamics," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 151-163.
• Paparizos, Panagiotis & Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2016. "On high frequency dynamics between information asymmetry and volatility for securities," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 21-34.
• Aron, Janine & Muellbauer, John, 2016. "“Modelling and forecasting mortgage delinquency and foreclosure in the UK.”," Journal of Urban Economics, Elsevier, vol. 94(C), pages 32-53.
  • Janine Aron & John Muellbauer, 2016. "Modelling and Forecasting Mortgage Delinquency and Foreclosure in the UK," Economics Series Working Papers 793, University of Oxford, Department of Economics.
  • Aron, Janine & Muellbauer, John, 2016. "Modelling and Forecasting Mortgage Delinquency and Foreclosure in the UK," CEPR Discussion Papers 11236, C.E.P.R. Discussion Papers.
• Chen, Jian & Jiang, Fuwei & Li, Hongyi & Xu, Weidong, 2016. "Chinese stock market volatility and the role of U.S. economic variables," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 70-83.
• Godfrey, Keith R.L., 2016. "Detecting the great short squeeze on Volkswagen," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 323-334.
• Sharma, Prateek & Vipul,, 2016. "Forecasting stock market volatility using Realized GARCH model: International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 222-230.
• Geyer, Alois & Hanke, Michael & Weissensteiner, Alex, 2016. "Inflation forecasts extracted from nominal and real yield curves," The Quarterly Review of Economics and Finance, Elsevier, vol. 60(C), pages 180-188.
• Jung, Young Cheol, 2016. "A portfolio insurance strategy for volatility index (VIX) futures," The Quarterly Review of Economics and Finance, Elsevier, vol. 60(C), pages 189-200.
• Miwa, Kotaro & Ueda, Kazuhiro, 2016. "Analysts’ preference for growth investing and vulnerability to market-wide sentiment," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 40-52.
• Labidi, Chiraz & Yaakoubi, Soumaya, 2016. "Investor sentiment and aggregate volatility pricing," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 53-63.
• Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2016. "Can commodity returns forecast Canadian sector stock returns?," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 172-188.
• Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.
• Chen, An-Sing & Chang, Chong-Chuo & Cheng, Lee-Young & Tu, Hsing-Yu, 2016. "Do analysts cater to investor beliefs via target prices," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 232-252.
• Laurini, Márcio P. & Caldeira, João F., 2016. "A macro-finance term structure model with multivariate stochastic volatility," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 68-90.
• Suzuki, Masataka, 2016. "A representative agent asset pricing model with heterogeneous beliefs and recursive utility," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 298-315.
• Nasr, Adnen Ben & Lux, Thomas & Ajmi, Ahdi Noomen & Gupta, Rangan, 2016. "Forecasting the volatility of the Dow Jones Islamic Stock Market Index: Long memory vs. regime switching," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 559-571.
  • Nasr, Adnen Ben & Lux, Thomas & Ajm, Ahdi Noomen & Gupta, Rangan, 2014. "Forecasting the volatility of the dow jones islamic stock market index: Long memory vs. regime switching," Economics Working Papers 2014-07, Christian-Albrechts-University of Kiel, Department of Economics.
  • Adnen Ben Nasr & Thomas Lux & Ahdi N. Ajmi & Rangan Gupta, 2014. "Forecasting the Volatility of the Dow Jones Islamic Stock Market Index: Long Memory vs. Regime Switching," Working Papers 201412, University of Pretoria, Department of Economics.
  • Adnen Ben Nasr & Thomas Lux & Ahdi Noomen Ajmi & Rangan Gupta, 2014. "Forecasting the Volatility of the Dow Jones Islamic Stock Market Index: Long Memory vs. Regime Switching," Working Papers 2014-236, Department of Research, Ipag Business School.
  • Ben Nasr, Adnen & Lux, Thomas & Ajmi, Ahdi Noomen & Gupta, Rangan, 2014. "Forecasting the Volatility of the Dow Jones Islamic Stock Market Index: Long Memory vs. Regime Switching," FinMaP-Working Papers 2, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
• Chao, Shih-Wei, 2016. "Do economic variables improve bond return volatility forecasts?," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 10-26.
• Gutierrez, Jose, 2016. "Reversal of 3-day losers and continuation of 3-day winners on the NASDAQ," Review of Financial Economics, Elsevier, vol. 30(C), pages 68-73.
• Koutmos, Dimitrios, 2016. "Distilling private information from plain-vanilla options to predict future underlying stock price volatility: Evidence from the H-shares of Chinese banks," Research in International Business and Finance, Elsevier, vol. 37(C), pages 391-405.
• Yavas, Burhan F. & Dedi, Lidija, 2016. "An investigation of return and volatility linkages among equity markets: A study of selected European and emerging countries," Research in International Business and Finance, Elsevier, vol. 37(C), pages 583-596.
• Lillo, Felipe & Valdés, Rodrigo, 2016. "Dynamics of financial markets and transaction costs: A graph-based study," Research in International Business and Finance, Elsevier, vol. 38(C), pages 455-465.
• 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.
  • 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.
• P. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," SIRE Discussion Papers 2015-71, Scottish Institute for Research in Economics (SIRE).
  • Byrne, JP & Cao, S & Korobilis, D, 2016. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Essex Finance Centre Working Papers 18195, University of Essex, Essex Business School.
  • Joseph P. Byrne & Shuo Cao. & Dimitris Korobilis., 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Working Papers 2015_08, Business School - Economics, University of Glasgow.
  • Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
• Raúl De Jesús Gutiérrez., 2016. "Estrategias dinámicas de cobertura cruzada eficiente para el mercado del petróleo mexicano: Evidencia de dos modelos GARCH multivariados con término de corrección de error," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 44(1), pages 115-146, Enero-Jun.
• Krzysztof Drachal, 2016. "Is the Development of WIG Index Determined by Certain Macroeconomic and Financial Factors?," Expert Journal of Economics, Sprint Investify, vol. 4(1), pages 24-33.
• Manuel Adelino & Kristopher S. Gerardi & Barney Hartman-Glaser, 2016. "Are Lemons Sold First? Dynamic Signaling in the Mortgage Market," FRB Atlanta Working Paper 2016-8, Federal Reserve Bank of Atlanta.
  • Manuel Adelino & Kristopher Gerardi & Barney Hartman-Glaser, 2018. "Are Lemons Sold First? Dynamic Signaling in the Mortgage Market," NBER Working Papers 24180, National Bureau of Economic Research, Inc.
• Timothy S. Fuerst & Ronald Mau, 2016. "Term Premium Variability and Monetary Policy," Working Papers (Old Series) 1611, Federal Reserve Bank of Cleveland.
• Mathias S. Kruttli, 2016. "From Which Consumption-Based Asset Pricing Models Can Investors Profit? Evidence from Model-Based Priors," Finance and Economics Discussion Series 2016-027, Board of Governors of the Federal Reserve System (U.S.).
• 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.
• 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 Calvori & Matteo Dentella & Giampiero M. Gallo, 2016. "Sovereign Debt Spreads within the Euro Area: When Fears Become Excess Fears," Econometrics Working Papers Archive 2016_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• Alexander E. Abramov & Alexander D. Radygin & Maria I. Chernova, 2016. "Equity vs. Bonds for Long-term Investors," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 127006, Russia, issue 3, pages 26-44, June.
• Victor À. Gorelik & Tatiana V. Zolotova, 2016. "Formation of an Optimum Portfolio of Russian Companies with Probabilistic Risk Function," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 127006, Russia, issue 3, pages 45-54, June.
• David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-19, March.
  • Lukasz Gatarek & Lennart Hoogerheide & Herman K. van Dijk, 2014. "Return and Risk of Pairs Trading using a Simulation-based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Tinbergen Institute Discussion Papers 14-039/III, Tinbergen Institute.
• 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.
• 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.
• 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.

2015

• Dominik Vuletić, 2015. "Next Global Crisis: Greatest Recession in the History of Capitalism is at the Doorstep," EFZG Working Papers Series 1509, Faculty of Economics and Business, University of Zagreb.
• Mario Situm, 2015. "The Relevance of Trend Variables for the Prediction of Corporate Crises and Insolvencies," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 18(1), pages 17-49, May.
• Fink, Kilian & Krüger, Ulrich & Meller, Barbara & Wong, Lui-Hsian, 2016. "The credit quality channel: Modeling contagion in the interbank market," Journal of Financial Stability, Elsevier, vol. 25(C), pages 83-97.
  • Fink, Kilian & Krüger, Ulrich & Meller, Barbara & Wong, Lui-Hsian, 2015. "The credit quality channel: Modeling contagion in the interbank market," Discussion Papers 38/2015, Deutsche Bundesbank.
• Hoffmann, Steffen, 2015. "Die steueroptimale Anlegerstrategie bei Wertpapieren und die zugehörige Grenzpreisbestimmung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 660, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
• Hoffmann, Steffen, 2015. "Renditesteigerung durch Steuerstundungseffekte bei Kuponanleihen und Nullkuponanleihen," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 661, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
• Korn, Olaf & Kuntz, Laura-Chloé, 2015. "Low-beta investment strategies," CFR Working Papers 15-17, University of Cologne, Centre for Financial Research (CFR).
• Pierdzioch, Christian & Reitz, Stefan & Ruelke, Jan-Christoph, 2014. "Heterogeneous forecasters and nonlinear expectation formation in the US stock market," Kiel Working Papers 1947, Kiel Institute for the World Economy (IfW).
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  • Pierdzioch, Christian & Reitz, Stefan & Ruelke, Jan-Christoph, 2014. "Heterogeneous Forecasters and Nonlinear Expectation Formation in the U.S. Stock Market," FinMaP-Working Papers 11, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
• 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.
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• Filip Žikeš & Jozef Baruník & Nikhil Shenai, 2017. "Modeling and forecasting persistent financial durations," Econometric Reviews, Taylor & Francis Journals, vol. 36(10), pages 1081-1110, November.
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• Richard Deaves & Jin Lei & Michael Schröder, 2019. "Forecaster Overconfidence and Market Survey Performance," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(2), pages 173-194, April.
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  • Deaves, Richard & Lei, Jin & Schroeder, Michael, 2015. "Forecaster overconfidence and market survey performance," FinMaP-Working Papers 40, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
  • Deaves, Richard & Lei, Jin & Schröder, Michael, 2015. "Forecaster overconfidence and market survey performance," Frankfurt School - Working Paper Series 218, Frankfurt School of Finance and Management.
• Richard Deaves & Jin Lei & Michael Schröder, 2019. "Forecaster Overconfidence and Market Survey Performance," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(2), pages 173-194, April.
  • Deaves, Richard & Lei, Jin & Schroeder, Michael, 2015. "Forecaster overconfidence and market survey performance," FinMaP-Working Papers 40, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
  • Deaves, Richard & Lei, Jin & Schröder, Michael, 2015. "Forecaster overconfidence and market survey performance," Frankfurt School - Working Paper Series 218, Frankfurt School of Finance and Management.
  • Deaves, Richard & Lei, Jin & Schröder, Michael, 2015. "Forecaster overconfidence and market survey performance," ZEW Discussion Papers 15-029, ZEW - Leibniz Centre for European Economic Research.
• Schmallowsky, Katrin, 2015. "Unternehmensbewertung mit Monte-Carlo-Simulationen," Wismar Discussion Papers 02/2015, Hochschule Wismar, Wismar Business School.
• Pierdzioch, Christian & Reitz, Stefan & Ruelke, Jan-Christoph, 2015. "Nonlinear expectation formation in the U.S. stock market: Empirical evidence from the Livingston survey," Kiel Working Papers 1947 [rev.], Kiel Institute for the World Economy (IfW).
• Baetje, Fabian & Menkhoff, Lukas, 2016. "Equity premium prediction: Are economic and technical indicators unstable?," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1193-1207.
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  • Baetje, Fabian & Menkhoff, Lukas, 2015. "Equity premium prediction: Are economic and technical indicators instable?," Kiel Working Papers 1987, Kiel Institute for the World Economy (IfW).
  • Fabian Baetje & Lukas Menkhoff, 2016. "Equity Premium Prediction: Are Economic and Technical Indicators Unstable?," Discussion Papers of DIW Berlin 1552, DIW Berlin, German Institute for Economic Research.
• Conrad, Christian & Schienle, Melanie, 2015. "Misspecification Testing in GARCH-MIDAS Models," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112919, Verein für Socialpolitik / German Economic Association.
• Baetje, Fabian & Menkhoff, Lukas, 2016. "Equity premium prediction: Are economic and technical indicators unstable?," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1193-1207.
  • Baetje, Fabian & Menkhoff, Lukas, 2015. "Equity premium prediction: Are economic and technical indicators instable?," Kiel Working Papers 1987, Kiel Institute for the World Economy (IfW).
  • Baetje, Fabian & Menkhoff, Lukas, 2015. "Equity premium prediction: Are economic and technical indicators instable?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113079, Verein für Socialpolitik / German Economic Association.
  • Fabian Baetje & Lukas Menkhoff, 2016. "Equity Premium Prediction: Are Economic and Technical Indicators Unstable?," Discussion Papers of DIW Berlin 1552, DIW Berlin, German Institute for Economic Research.
• Richard Deaves & Jin Lei & Michael Schröder, 2019. "Forecaster Overconfidence and Market Survey Performance," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(2), pages 173-194, April.
  • Deaves, Richard & Lei, Jin & Schröder, Michael, 2015. "Forecaster overconfidence and market survey performance," Frankfurt School - Working Paper Series 218, Frankfurt School of Finance and Management.
  • Deaves, Richard & Lei, Jin & Schröder, Michael, 2015. "Forecaster overconfidence and market survey performance," ZEW Discussion Papers 15-029, ZEW - Leibniz Centre for European Economic Research.
  • Deaves, Richard & Lei, Jin & Schroeder, Michael, 2015. "Forecaster overconfidence and market survey performance," FinMaP-Working Papers 40, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
• Deni Memic, 2015. "Assessing Credit Default using Logistic Regression and Multiple Discriminant Analysis: Empirical Evidence from Bosnia and Herzegovina," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 13(1), pages 128-153.
• Florian Schaffner, 2015. "Predicting US bank failures with internet search volume data," ECON - Working Papers 214, Department of Economics - University of Zurich.
• Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2015. "Parallel Sequential Monte Carlo for Efficient Density Combination: The DeCo MATLAB Toolbox," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i03).
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• Bo Yi & Frederi Viens & Baron Law & Zhongfei Li, 2015. "Dynamic portfolio selection with mispricing and model ambiguity," Annals of Finance, Springer, vol. 11(1), pages 37-75, February.
• Mark Freeman & Ben Groom, 2015. "Using equity premium survey data to estimate future wealth," Review of Quantitative Finance and Accounting, Springer, vol. 45(4), pages 665-693, November.
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• Fabian Baetje & Lukas Menkhoff, 2015. "Equity Premium Prediction: Are Economic and Technical Indicators Instable?," Kiel Working Papers 1987, Kiel Institute for the World Economy.
• Alper Veli ÇAM, 2015. "Notes on the2015 Finance Symposium," Journal of Economics Library, KSP Journals, vol. 2(4), pages 378-379, December.
• Dragicevic, Arnaud & Lobianco, Antonello & Leblois, Antoine, 2016. "Forest planning and productivity-risk trade-off through the Markowitz mean-variance model," Forest Policy and Economics, Elsevier, vol. 64(C), pages 25-34.
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• Benoît Carmichael & Jean Armand Gnagne & Kevin Moran, 2015. "Securities Transactions Taxes and Financial Crises," CIRANO Working Papers 2015s-23, CIRANO.
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  • Benoît Carmichael & Jean Armand Gnagne & Kevin Moran, 2015. "Securities Transactions Taxes and Financial Crises," Cahiers de recherche 1515, CIRPEE.
• Benoît Carmichael & Jean Armand Gnagne & Kevin Moran, 2015. "Securities Transactions Taxes and Financial Crises," Cahiers de recherche 1506, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
  • Benoît Carmichael & Jean Armand Gnagne & Kevin Moran, 2015. "Securities Transactions Taxes and Financial Crises," Cahiers de recherche 1515, CIRPEE.
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• Alexandru Mandes, 2015. "Impact of inventory-based electronic liquidity providers within a high-frequency event- and agent-based modeling framework," MAGKS Papers on Economics 201515, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• Alexandru Mandes & Peter Winker, 2017. "Complexity and model comparison in agent based modeling of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 469-506, October.
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• Vojtěch Fiala & Svatopluk Kapounek & Ondřej Veselý, 2015. "Impact of Social Media on the Stock Market: Evidence from Tweets," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 1(1), pages 24-35, November.
• Nicky J. Ferguson & Dennis Philip & Herbert Y. T. Lam & Jie Michael Guo, 2015. "Media Content and Stock Returns: The Predictive Power of Press," Multinational Finance Journal, Multinational Finance Journal, vol. 19(1), pages 1-31, March.
• Yuri Biondi & Simone Righi, 2015. "Much ado about making money:The impact of disclosure, news and rumors over the formation of security market prices over time," Department of Economics 0075, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
• Alain Chateauneuf & Mina Mostoufi & David Vyncke, 2015. "Comonotonic Monte Carlo and its applications in option pricing and quantification of risk," Post-Print hal-01159741, HAL.
  • Alain Chateauneuf & Mina Mostoufi & David Vyncke, 2015. "Comonotonic Monte Carlo and its applications in option pricing and quantification of risk," Documents de travail du Centre d'Economie de la Sorbonne 15015, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Alain Chateauneuf & Mina Mostoufi & David Vyncke, 2015. "Comonotonic Monte Carlo and its applications in option pricing and quantification of risk," Documents de travail du Centre d'Economie de la Sorbonne 15015r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jun 2015.
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• Alain Chateauneuf & Mina Mostoufi & David Vyncke, 2015. "Comonotonic Monte Carlo and its applications in option pricing and quantification of risk," Documents de travail du Centre d'Economie de la Sorbonne 15015, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Alain Chateauneuf & Mina Mostoufi & David Vyncke, 2015. "Comonotonic Monte Carlo and its applications in option pricing and quantification of risk," Documents de travail du Centre d'Economie de la Sorbonne 15015r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jun 2015.
  • Alain Chateauneuf & Mina Mostoufi & David Vyncke, 2015. "Comonotonic Monte Carlo and its applications in option pricing and quantification of risk," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01159741, HAL.
  • Alain Chateauneuf & Mina Mostoufi & David Vyncke, 2015. "Comonotonic Monte Carlo and its applications in option pricing and quantification of risk," Post-Print hal-01159741, HAL.
• Catherine Bruneau & Alexis Flageollet & Zhun Peng, 2015. "Paving the way for better telecom performance: Evidence from the telecommunication sector in MENA countries," Documents de travail du Centre d'Economie de la Sorbonne 15040, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Guillaume Arnould & Catherine Bruneau & Zhun Peng, 2015. "Liquidity and Equity Short term fragility: Stress-tests for the European banking system," Post-Print halshs-01254729, HAL.
  • Guillaume Arnould & Catherine Bruneau & Zhun Peng, 2015. "Liquidity and Equity Short term fragility: Stress-tests for the European banking system," Documents de travail du Centre d'Economie de la Sorbonne 15090, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Guillaume Arnould & Catherine Bruneau & Zhun Peng, 2015. "Liquidity and Equity Short term fragility: Stress-tests for the European banking system," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01254729, HAL.
• Biqing Cai & Chaohua Dong & Jiti Gao, 2015. "Orthogonal Series Estimation in Nonlinear Cointegrating Models with Endogeneity," Monash Econometrics and Business Statistics Working Papers 18/15, Monash University, Department of Econometrics and Business Statistics.
• Harry-Paul Vander Elst, 2015. "FloGARCH: Realizing Long Memory and Asymmetries in Returns Valitility," Working Papers ECARES ECARES 2015-12, ULB -- Universite Libre de Bruxelles.
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• Tomasz Skoczylas, 2015. "Log-volatility enhanced GARCH models for single asset returns," Bank i Kredyt, Narodowy Bank Polski, vol. 46(5), pages 411-432.
• Florentin Butaru & QingQing Chen & Brian Clark & Sanmay Das & Andrew W. Lo & Akhtar Siddique, 2015. "Risk and Risk Management in the Credit Card Industry," NBER Working Papers 21305, National Bureau of Economic Research, Inc.
• David, Joel M. & Simonovska, Ina, 2016. "Correlated beliefs, returns, and stock market volatility," Journal of International Economics, Elsevier, vol. 99(S1), pages 58-77.
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  • Ina Simonovska & Joel David, 2016. "Correlated Beliefs, Returns, and Stock Market Volatility," 2016 Meeting Papers 130, Society for Economic Dynamics.
• Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2015. "The Pricing of Short-Term market Risk: Evidence from Weekly Options," NBER Working Papers 21491, National Bureau of Economic Research, Inc.
• Kocheturov, A. & Batsyn, M. & Pardalos, P., 2015. "Dynamics of Cluster Structures in Stock Market Networks," Journal of the New Economic Association, New Economic Association, vol. 28(4), pages 12-30.
• Abramov, Alexander & Radygin, Alexander & Chernova, Maria, 2015. "Long-term portfolio investments: New insight into return and risk," Russian Journal of Economics, Elsevier, vol. 1(3), pages 273-293.
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• Sornette, Didier & Cauwels, Peter, 2015. "Financial Bubbles: Mechanisms and Diagnostics," Review of Behavioral Economics, now publishers, vol. 2(3), pages 279-305, October.
• Droj Laurentiu, 2015. "Study Regarding The Profitability Indicators For The Romanian Companies Operating In The Tourism And Leisure Services Sector In The Period Of 2010-2013," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 817-824, July.
• Abrudan Leonard Calin, 2015. "Analysis Of Romanian Economic Stability In Terms Of Evolution Of The Budgetary Deficit And Other Macroeconomic Indicators, In The Period 2013-2017 (Forecast)," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 13-19, December.
• Jiahan Li & Ilias Tsiakas & Wei Wang, 2015. "Predicting Exchange Rates Out of Sample: Can Economic Fundamentals Beat the Random Walk?," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 13(2), pages 293-341.
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• Laurent E. Calvet & Veronika Czellar, 2015. "Accurate Methods for Approximate Bayesian Computation Filtering," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 13(4), pages 798-838.
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• Filip Žikeš & Jozef Baruník, 2015. "Semi-parametric Conditional Quantile Models for Financial Returns and Realized Volatility," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 14(1), pages 185-226.
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  • Žikeš, Filip & Baruník, Jozef, 2014. "Semiparametric Conditional Quantile Models for Financial Returns and Realized Volatility," FinMaP-Working Papers 20, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
• Aurora Murgea, 2015. "January Effect and Market Conditions: a Case of Romania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 488-493, May.
• Aurora Murgea, 2015. "Holliday Effect in Contemporary Capital Markets," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 494-499, May.
• Elia Berdin & Helmut Gründl, 2015. "The Effects of a Low Interest Rate Environment on Life Insurers," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 40(3), pages 385-415, July.
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  • Berdin, Elia & Gründl, Helmut, 2015. "The effects of a low interest rate environment on life insurers," SAFE Working Paper Series 65, Leibniz Institute for Financial Research SAFE.
• Paul Bedon Garcia & Gabriel Rodriguez, 2015. "Univariate Autoregressive Conditional Heteroskedasticity Models: An Application to the Peruvian Stock Market Returns," Documentos de Trabajo / Working Papers 2015-400, Departamento de Economía - Pontificia Universidad Católica del Perú.
• Laila Taskeen Qazi & Atta Ur Rahman & Saleem Gul, 2015. "Which Pairs of Stocks should we Trade? Selection of Pairs for Statistical Arbitrage and Pairs Trading in Karachi Stock Exchange," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(3), pages 215-244.
• Molenaars, Tomas K. & Reinerink, Nick H. & Hemminga, Marcus A., 2015. "Forecasting the yield curve: art or science?," MPRA Paper 61917, University Library of Munich, Germany.
• Bonga-Bonga, Lumengo & Mwamba, Muteba, 2015. "A multivariate model for the prediction of stock returns in an emerging market: A comparison of parametric and non-parametric models," MPRA Paper 62028, University Library of Munich, Germany.
• Hu, Zongyi & Li, Chao, 2015. "Investor Sentiment and Irrational Speculative Bubble Model," MPRA Paper 62108, University Library of Munich, Germany.
• Jones, Clive, 2015. "Predictability of the daily high and low of the S&P 500 index," MPRA Paper 62664, University Library of Munich, Germany.
• Djennad, Abdelmajid & Rigby, Robert & Stasinopoulos, Dimitrios & Voudouris, Vlasios & Eilers, Paul, 2015. "Beyond location and dispersion models: The Generalized Structural Time Series Model with Applications," MPRA Paper 62807, University Library of Munich, Germany.
• P. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," SIRE Discussion Papers 2015-71, Scottish Institute for Research in Economics (SIRE).
  • Byrne, JP & Cao, S & Korobilis, D, 2016. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Essex Finance Centre Working Papers 18195, University of Essex, Essex Business School.
  • Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
  • Joseph P. Byrne & Shuo Cao. & Dimitris Korobilis., 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Working Papers 2015_08, Business School - Economics, University of Glasgow.
• Naser, Hanan & Alaali, Fatema, 2015. "Can Oil Prices Help Predict US Stock Market Returns: An Evidence Using a DMA Approach," MPRA Paper 65295, University Library of Munich, Germany, revised 25 Jun 2015.
• Liu, Chengwei & Chan, Yixiang & Alam Kazmi, Syed Hasnain & Fu, Hao, 2015. "Financial Fraud Detection Model Based on Random Forest," MPRA Paper 65404, University Library of Munich, Germany.
• Ahmadov, Vugar & Huseynov, Salman & Mammadov, Fuad & Karimli, Tural, 2015. "Brent nefti opsiyonlarından neytral riskli ehtimal paylanmasının əldə olunması [Extracting risk-neutral probability distribution from Brent oil options]," MPRA Paper 65704, University Library of Munich, Germany.
• Dhaoui, Abderrazak & Audi, Mohamed & Ouled Ahmed Ben Ali, Raja, 2015. "Revising empirical linkages between direction of Canadian stock price index movement and Oil supply and demand shocks: Artificial neural network and support vector machines approaches," MPRA Paper 66029, University Library of Munich, Germany.
• Kroujiline, Dimitri & Gusev, Maxim & Ushanov, Dmitry & Sharov, Sergey V. & Govorkov, Boris, 2015. "Forecasting stock market returns over multiple time horizons," MPRA Paper 66175, University Library of Munich, Germany.
• Mamipour, Siab & Vaezi Jezeie, Fereshteh, 2015. "Non-Linearities in the relation between oil price, gold price and stock market returns in Iran: a multivariate regime-switching approach," MPRA Paper 66202, University Library of Munich, Germany.
• Grover, Vaibhav, 2015. "Identifying Dependence Structure among Equities in Indian Markets using Copulas," MPRA Paper 66302, University Library of Munich, Germany.
• Tomić, Bojan & Sesar, Andrijana, 2015. "Interdependence of Industrial Production Index and capital market in Croatia: VAR model," MPRA Paper 66816, University Library of Munich, Germany.
• Situngkir, Hokky, 2015. "On Capturing the Spreading Dynamics over Trading Prices in the Market," MPRA Paper 67247, University Library of Munich, Germany.
• Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
• Pönkä, Harri, 2016. "Real oil prices and the international sign predictability of stock returns," Finance Research Letters, Elsevier, vol. 17(C), pages 79-87.
  • Pönkä, Harri, 2015. "Real oil prices and the international sign predictability of stock returns," MPRA Paper 68330, University Library of Munich, Germany.
• Meriem Rjiba & Michail Tsagris & Hedi Mhalla, 2015. "Bootstrap for Value at Risk Prediction," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(6), pages 362-371.
  • Meriem Rjiba, Meriem & Tsagris, Michail & Mhalla, Hedi, 2015. "Bootstrap for Value at Risk Prediction," MPRA Paper 68842, University Library of Munich, Germany.
• LaGarda, Guillermo & Manzano, Osmel & Prat, Jordi, 2015. "The Legacy of the Crisis: Policy Options in a Favorable Environment," MPRA Paper 72151, University Library of Munich, Germany.
• Pavlović, Radica & Bukvić, Rajko & Gajić, Aleksandar, 2015. "Internal Sources of Financing Companies on the Basis of Static and Dynamic Indicators: Comparative Analysis," MPRA Paper 72216, University Library of Munich, Germany, revised 2015.
• Khan, Dr. Muhammad Irfan & Syed, Muhammad Salman, 2015. "Comparison between Forecasted Stock Prices and Original Stock Prices in the Karachi Stock Exchange," MPRA Paper 72647, University Library of Munich, Germany, revised Jul 2015.
• Matkovskyy, Roman & Bouraoui, Taoufik & Hammami, Helmi, 2015. "Estimation and prediction of an Index of Financial Safety of Tunisia," MPRA Paper 74573, University Library of Munich, Germany, revised 2016.
• Ahelegbey, Daniel Felix, 2015. "The Econometrics of Bayesian Graphical Models: A Review With Financial Application," MPRA Paper 92634, University Library of Munich, Germany, revised 25 Apr 2016.
• Asandului, Mircea & Lupu, Dan & Mursa, Gabriel Claudiu & Muşetescu, Radu, 2015. "Dynamic relations between CDS and stock markets in Eastern European countries," MPRA Paper 95506, University Library of Munich, Germany.
• Bekiros, Stelios & Gupta, Rangan, 2015. "Predicting stock returns and volatility using consumption-aggregate wealth ratios: A nonlinear approach," Economics Letters, Elsevier, vol. 131(C), pages 83-85.
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