Research classified by Journal of Economic Literature (JEL) codes

2020

• Avdoulas Christos & Bekiros Stelios & Lucey Brian, 2020, "The term structure of Eurozone peripheral bond yields: an asymmetric regime-switching equilibrium correction approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 24, issue 4, pages 1-23, September, DOI: 10.1515/snde-2018-0105.
• Zhu Fumin & Bianchi Michele Leonardo & Kim Young Shin & Fabozzi Frank J. & Wu Hengyu, 2020, "Learning for infinitely divisible GARCH models in option pricing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 25, issue 3, pages 35-62, June, DOI: 10.1515/snde-2019-0088.
• Rice, Jonathan, 2020, "Economic Policy Uncertainty in Small Open Economies: a Case Study in Ireland," Research Technical Papers, Central Bank of Ireland, number 01/RT/20, Jan.
• Bikramaditya Ghosh & Krishna MC, 2020, "Econophysical bourse volatility – Global Evidence," Journal of Central Banking Theory and Practice, Central bank of Montenegro, volume 9, issue 2, pages 87-107.
• Ron Gecan, 2020, "CBO's Oil Price Forecasting Record: Working Paper 2020-03," Working Papers, Congressional Budget Office, number 56356, May.
• Roberto Marfè & Julien Pénasse, 2020, "Measuring Macroeconomic Tail Risk," Carlo Alberto Notebooks, Collegio Carlo Alberto, number 621.
• Daniele Bianchi & Mykola Babiak, 2020, "On the Performance of Cryptocurrency Funds," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp672, Sep.
• Mykola Babiak & Jozef Barunik, 2020, "Deep Learning, Predictability, and Optimal Portfolio Returns," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp677, Dec.
• Guglielmo Maria Caporale & Alex Plastun & Viktor Oliinyk, 2020, "The Frequency of One-Day Abnormal Returns and Price Fluctuations in the FOREX," CESifo Working Paper Series, CESifo, number 8196.
• Christian Fieberg & Lars Hornuf & Gerrit Liedtke & Thorsten Poddig, 2020, "Are Characteristics Covariances? A Comment on Instrumented Principal Component Analysis," CESifo Working Paper Series, CESifo, number 8377.
• Guglielmo Maria Caporale & Alex Plastun, 2020, "Gold and Oil Prices: Abnormal Returns, Momentum and Contrarian Effects," CESifo Working Paper Series, CESifo, number 8445.
• Guglielmo Maria Caporale & Alex Plastun, 2020, "Abnormal Returns and Stock Price Movements: Some Evidence from Developed and Emerging Markets," CESifo Working Paper Series, CESifo, number 8783.
• Oksana Bashchenko & Alexis Marchal, 2020, "Deep Learning, Jumps, and Volatility Bursts," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 20-10, Mar.
• Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2020, "Does Big Data Improve Financial Forecasting? The Horizon Effect," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 20-106, Nov.
• Walter Distaso & Antonio Mele & Grigory Vilkov, 2020, "Cross-Section Without Factors: Correlation Risk, Strings and Asset Prices," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 20-119, Sep.
• Rebecca Westphal & Didier Sornette, 2020, "How market intervention can prevent bubbles and crashes," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 20-74, Aug.
• Jillian Grennan & Roni Michaely, 2020, "Artificial Intelligence and High-Skilled Work: Evidence from Analysts," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 20-84, Aug.
• J-C Gerlach & Jerome L Kreuser & Didier Sornette, 2020, "Crash-sensitive Kelly Strategy built on a modified Kreuser-Sornette bubble model tested over three decades of twenty equity indices," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 20-85, Oct.
• Walter Farkas & Fulvia Fringuellotti & Radu Tunaru, 2020, "A Cost-Benefit Analysis of Capital Requirements Adjusted for Model Risk," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 20-86, Oct.
• Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020, "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers, Chapman University, Economic Science Institute, number 20-27.
• Zuzana Rakovska, 2020, "Composite Survey Sentiment as a Predictor of Future Market Returns: Evidence for German Equity Indices," Working Papers, Czech National Bank, Research and Statistics Department, number 2020/13, Dec.
• Oscar Valdemar de la Torre-Torres & Luis Guadalupe Mac�as-Trejo & Francisco L�pez-Herrera, 2020, "La eficiencia media-varianza de un portafolio sobreponderado en acciones socialmente responsables de México y Estados Unidos," Estudios Gerenciales, Universidad Icesi, volume 36, issue 154, pages 91-99.
• Diego Andrés Correa-Mejía & Mauricio Lopera-Casta�o, 2020, "Financial ratios as a powerful instrument to predict insolvency; a study using boosting algorithms in Colombian firms," Estudios Gerenciales, Universidad Icesi, volume 36, issue 155, pages 229-238, DOI: 10.18046/j.estger.2020.155.3588.
• Aguilar, Pablo & Fahr, Stephan & Gerba, Eddie & Hurtado, Samuel, 2020, "Quest for Robust Optimal Macroprudential Policy," Dynare Working Papers, CEPREMAP, number 53, Feb.
• Favero, Carlo A. & Melone, Alessandro, 2020, "Asset Pricing vs Asset Expected Returning in Factor-Portfolio Models," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14417, Feb.
• Bartram, Söhnke & Branke, Jürgen & Motahari, Mehrshad, 2020, "Artificial Intelligence in Asset Management," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14525, Mar.
• Rossi, Barbara & Odendahl, Florens & Sekhposyan, Tatevik, 2020, "Comparing Forecast Performance with State Dependence," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15217, Aug.
• Pérez-Quirós, Gabriel & Diaz, Elena, 2020, "Daily Tracker of Global Economic Activity. A Close-Up of the Covid-19 Pandemic," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15451, Nov.
• Nieto Delfin, Maria Rosa & Ruiz Ortega, Esther, 2020, "Direct versus iterated multi-period Value at Risk," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 30349, May.
• Moulay Driss ELBOUSTY & Lahsen OUBDI, 2020, "Volatility stylized facts in the Moroccan stock market: Evidence from both aggregate and disaggregate data," Turkish Economic Review, EconSciences Journals, volume 7, issue 2, pages 111-138, July.
• Nassiba El HAROUS & Taacha El HASSAN, 2020, "Intangible capital: A strategic lever for value creation," Turkish Economic Review, EconSciences Journals, volume 7, issue 3, pages 139-150, October.
• Siméon Maxime BIKOUE, 2020, "The allocation of time in public administrations subject to bribery in developing countries: The basic model of labour supplu revisited," Turkish Economic Review, EconSciences Journals, volume 7, issue 3, pages 151-163, October.
• Dessaint, Olivier & Foucault, Thierry & Frésard, Laurent, 2020, "Does Big Data Improve Financial Forecasting? The Horizon Effect," HEC Research Papers Series, HEC Paris, number 1402, Nov, DOI: 10.2139/ssrn.3702411.
• Marc Hallin & Carlos Trucíos, 2020, "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES, ULB -- Universite Libre de Bruxelles, number 2020-50, Dec.
• Gräb, Johannes & Titzck, Stephanie, 2020, "US yield curve inversion and financial market signals of recession," Economic Bulletin Boxes, European Central Bank, volume 1.
• Borsuk, Marcin & Budnik, Katarzyna & Volk, Matjaz, 2020, "Buffer use and lending impact," Macroprudential Bulletin, European Central Bank, volume 11.
• Lang, Jan Hannes & Forletta, Marco, 2020, "Cyclical systemic risk and downside risks to bank profitability," Working Paper Series, European Central Bank, number 2405, May.
• Montagna, Mattia & Torri, Gabriele & Covi, Giovanni, 2020, "On the origin of systemic risk," Working Paper Series, European Central Bank, number 2502, Dec.
• Diaz, Elena Maria & Pérez Quirós, Gabriel, 2020, "Daily tracker of global economic activity: a close-up of the COVID-19 pandemic," Working Paper Series, European Central Bank, number 2505, Dec.
• Karnaukh, Nina, 2020, "Growth Forecasts and News about Monetary Policy," Working Paper Series, Ohio State University, Charles A. Dice Center for Research in Financial Economics, number 2020-27, Oct.
• Chia-Cheng Chen & Chun-Hung Chen & Ting-Yin Liu, 2020, "Investment Performance of Machine Learning: Analysis of S&P 500 Index," International Journal of Economics and Financial Issues, Econjournals, volume 10, issue 1, pages 59-66.
• Hatice Erkekoglu & Aweng Peter Majok Garang & Adire Simon Deng, 2020, "Modeling and Forecasting USD/UGX Volatility through GARCH Family Models: Evidence from Gaussian, T and GED Distributions," International Journal of Economics and Financial Issues, Econjournals, volume 10, issue 2, pages 268-281.
• Rim Ammar Lamouchi, 2020, "Long Memory and Stock Market Efficiency: Case of Saudi Arabia," International Journal of Economics and Financial Issues, Econjournals, volume 10, issue 3, pages 29-34.
• Shailesh Rana & William H. Bommer & G. Michael Phillips, 2020, "Predicting Returns for Growth and Value Stocks: A Forecast Assessment Approach Using Global Asset Pricing Models," International Journal of Economics and Financial Issues, Econjournals, volume 10, issue 4, pages 88-106.
• Hugo Hernandez Palma & William Alejandro Niebles, 2020, "Financial Evaluation of Photovoltaic Energy Projects in Colombia," International Journal of Energy Economics and Policy, Econjournals, volume 10, issue 6, pages 225-228.
• Hugo Hernandez Palma & Kennedy Hurtado Ibarra, 2020, "Evaluation of Photovoltaic Energy Projects using the Real Options Valuation," International Journal of Energy Economics and Policy, Econjournals, volume 10, issue 6, pages 256-265.
• Pagach, Donald P. & Warr, Richard S., 2020, "Analysts versus time-series forecasts of quarterly earnings: A maintained hypothesis revisited," Advances in accounting, Elsevier, volume 51, issue C, DOI: 10.1016/j.adiac.2020.100497.
• Uddin, Ajim & Yu, Dantong, 2020, "Latent factor model for asset pricing," Journal of Behavioral and Experimental Finance, Elsevier, volume 27, issue C, DOI: 10.1016/j.jbef.2020.100353.
• Łukowski, Michał & Gemra, Kamil & Maruszewski, Janusz & Śliwiński, Paweł & Zygmanowski, Piotr, 2020, "Equity premium puzzle — Evidence from Poland," Journal of Behavioral and Experimental Finance, Elsevier, volume 28, issue C, DOI: 10.1016/j.jbef.2020.100398.
• Sherif, Mohamed, 2020, "The impact of Coronavirus (COVID-19) outbreak on faith-based investments: An original analysis," Journal of Behavioral and Experimental Finance, Elsevier, volume 28, issue C, DOI: 10.1016/j.jbef.2020.100403.
• Yuan, Ying & Zhang, Tonghui, 2020, "Forecasting stock market in high and low volatility periods: a modified multifractal volatility approach," Chaos, Solitons & Fractals, Elsevier, volume 140, issue C, DOI: 10.1016/j.chaos.2020.110252.
• Yang, Jun & Lu, Jing & Xiang, Cheng, 2020, "Do disclosures of selective access improve market information acquisition fairness? Evidence from company visits in China," Journal of Corporate Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.jcorpfin.2020.101631.
• Cowan, Arnold R. & Salotti, Valentina, 2020, "Anti-selective disclosure regulation and analyst forecast accuracy and usefulness," Journal of Corporate Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.jcorpfin.2020.101669.
• Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020, "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, volume 65, issue C, DOI: 10.1016/j.jcorpfin.2020.101753.
• Kukacka, Jiri & Kristoufek, Ladislav, 2020, "Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality," Journal of Economic Dynamics and Control, Elsevier, volume 113, issue C, DOI: 10.1016/j.jedc.2020.103855.
• Oldham, Matthew, 2020, "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, volume 113, issue C, DOI: 10.1016/j.jedc.2020.103864.
• Schnaubelt, Matthias & Fischer, Thomas G. & Krauss, Christopher, 2020, "Separating the signal from the noise – Financial machine learning for Twitter," Journal of Economic Dynamics and Control, Elsevier, volume 114, issue C, DOI: 10.1016/j.jedc.2020.103895.
• Lioui, Abraham & Tarelli, Andrea, 2020, "Factor Investing for the Long Run," Journal of Economic Dynamics and Control, Elsevier, volume 117, issue C, DOI: 10.1016/j.jedc.2020.103960.
• Pham, Manh Cuong & Anderson, Heather Margot & Duong, Huu Nhan & Lajbcygier, Paul, 2020, "The effects of trade size and market depth on immediate price impact in a limit order book market," Journal of Economic Dynamics and Control, Elsevier, volume 120, issue C, DOI: 10.1016/j.jedc.2020.103992.
• Huynh, Toan Luu Duc & Nasir, Muhammad Ali & Nguyen, Sang Phu & Duong, Duy, 2020, "An assessment of contagion risks in the banking system using non-parametric and Copula approaches," Economic Analysis and Policy, Elsevier, volume 65, issue C, pages 105-116, DOI: 10.1016/j.eap.2019.11.007.
• Wiafe, Osei K. & Basu, Anup K. & Chen, En Te, 2020, "Portfolio choice after retirement: Should self-annuitisation strategies hold more equities?," Economic Analysis and Policy, Elsevier, volume 65, issue C, pages 241-255, DOI: 10.1016/j.eap.2020.02.012.
• Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2020, "A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage," Economic Modelling, Elsevier, volume 85, issue C, pages 57-73, DOI: 10.1016/j.econmod.2019.05.006.
• Sha, Yezhou, 2020, "The devil in the style: Mutual fund style drift, performance and common risk factors," Economic Modelling, Elsevier, volume 86, issue C, pages 264-273, DOI: 10.1016/j.econmod.2019.10.004.
• Hussain Shahzad, Syed Jawad & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2020, "Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin," Economic Modelling, Elsevier, volume 87, issue C, pages 212-224, DOI: 10.1016/j.econmod.2019.07.023.
• Kim, Hyeongwoo & Ko, Kyunghwan, 2020, "Improving forecast accuracy of financial vulnerability: PLS factor model approach," Economic Modelling, Elsevier, volume 88, issue C, pages 341-355, DOI: 10.1016/j.econmod.2019.09.046.
• Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2020, "Volatility forecasting using related markets’ information for the Tokyo stock exchange," Economic Modelling, Elsevier, volume 90, issue C, pages 143-158, DOI: 10.1016/j.econmod.2020.05.008.
• Wang, Jiazhen & Jiang, Yuexiang & Zhu, Yanjian & Yu, Jing, 2020, "Prediction of volatility based on realized-GARCH-kernel-type models: Evidence from China and the U.S," Economic Modelling, Elsevier, volume 91, issue C, pages 428-444, DOI: 10.1016/j.econmod.2020.06.004.
• Xu, Yahua & Xiao, Jun & Zhang, Liguo, 2020, "Global predictive power of the upside and downside variances of the U.S. equity market," Economic Modelling, Elsevier, volume 93, issue C, pages 605-619, DOI: 10.1016/j.econmod.2020.09.006.
• Liang, Chao & Ma, Feng & Li, Ziyang & Li, Yan, 2020, "Which types of commodity price information are more useful for predicting US stock market volatility?," Economic Modelling, Elsevier, volume 93, issue C, pages 642-650, DOI: 10.1016/j.econmod.2020.03.022.
• Wu, Xinyu & Hou, Xinmeng, 2020, "Forecasting volatility with component conditional autoregressive range model," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2019.101078.
• Dong, Dayong & Yue, Sishi & Cao, Jiawei, 2020, "Site visit information content and return predictability: Evidence from China," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2019.101104.
• Zhang, Yaojie & Lei, Likun & Wei, Yu, 2020, "Forecasting the Chinese stock market volatility with international market volatilities: The role of regime switching," The North American Journal of Economics and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.najef.2020.101145.
• Díaz-Mendoza, Ana-Carmen & Pardo, Angel, 2020, "Holidays, weekends and range-based volatility," The North American Journal of Economics and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.najef.2019.101124.
• Wang, Jiexin & Han, Xue & Huang, Emily J. & Yost-Bremm, Chris, 2020, "Predictability in international stock returns using currency fluctuations and forward rate forecasts," The North American Journal of Economics and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.najef.2019.101108.
• Dey, Shubhasis & Sampath, Aravind, 2020, "Returns, volatility and spillover – A paradigm shift in India?," The North American Journal of Economics and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.najef.2019.101110.
• Hung, Jui-Cheng & Liu, Hung-Chun & Yang, J. Jimmy, 2020, "Improving the realized GARCH’s volatility forecast for Bitcoin with jump-robust estimators," The North American Journal of Economics and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.najef.2020.101165.
• Wang, Janchung & Yeh, Shih-Kuo & Wang, Bo-Ting, 2020, "The effect of short-sale restrictions on the information transmission of extended index futures trading," The North American Journal of Economics and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.najef.2020.101166.
• Zhang, Xiang, 2020, "Leisure and long-run risks: An empirical evaluation on value premium puzzle," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2020.101223.
• Loginov, Alexander & Heywood, Malcolm, 2020, "On the different impacts of fixed versus floating bid-ask spreads on an automated intraday stock trading," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2020.101247.
• Hai, Hoang Van & Park, Jong Won & Tsai, Ping-Chen & Eom, Cheoljun, 2020, "Lottery mindset, mispricing and idiosyncratic volatility puzzle: Evidence from the Chinese stock market," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2020.101266.
• Yin, Anwen, 2020, "Equity premium prediction and optimal portfolio decision with Bagging," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2020.101274.
• Sharma, Prateek & Paul, Samit & Sharma, Swati, 2020, "What’s in a name? A lot if it has “blockchain”," Economics Letters, Elsevier, volume 186, issue C, DOI: 10.1016/j.econlet.2019.108818.
• Karlsson, Sune & Österholm, Pär, 2020, "The relation between the corporate bond-yield spread and the real economy: Stable or time-varying?," Economics Letters, Elsevier, volume 186, issue C, DOI: 10.1016/j.econlet.2019.108883.
• Cretarola, Alessandra & Figà-Talamanca, Gianna, 2020, "Bubble regime identification in an attention-based model for Bitcoin and Ethereum price dynamics," Economics Letters, Elsevier, volume 191, issue C, DOI: 10.1016/j.econlet.2019.108831.
• Tsang, Kwok Ping & Yang, Zichao, 2020, "Price dispersion in bitcoin exchanges," Economics Letters, Elsevier, volume 194, issue C, DOI: 10.1016/j.econlet.2020.109379.
• Barone-Adesi, Giovanni & Fusari, Nicola & Mira, Antonietta & Sala, Carlo, 2020, "Option market trading activity and the estimation of the pricing kernel: A Bayesian approach," Journal of Econometrics, Elsevier, volume 216, issue 2, pages 430-449, DOI: 10.1016/j.jeconom.2019.11.001.
• Gao, Jiti & Xia, Kai & Zhu, Huanjun, 2020, "Heterogeneous panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, volume 219, issue 2, pages 329-353, DOI: 10.1016/j.jeconom.2020.03.007.
• Koo, Bonsoo & Anderson, Heather M. & Seo, Myung Hwan & Yao, Wenying, 2020, "High-dimensional predictive regression in the presence of cointegration," Journal of Econometrics, Elsevier, volume 219, issue 2, pages 456-477, DOI: 10.1016/j.jeconom.2020.03.011.
• Nevrla, Matěj, 2020, "Systemic risk in European financial and energy sectors: Dynamic factor copula approach," Economic Systems, Elsevier, volume 44, issue 4, DOI: 10.1016/j.ecosys.2020.100820.
• Gribisch, Bastian & Hartkopf, Jan Patrick & Liesenfeld, Roman, 2020, "Factor state–space models for high-dimensional realized covariance matrices of asset returns," Journal of Empirical Finance, Elsevier, volume 55, issue C, pages 1-20, DOI: 10.1016/j.jempfin.2019.08.003.
• Christiansen, Charlotte & Grønborg, Niels S. & Nielsen, Ole L., 2020, "Mutual fund selection for realistically short samples," Journal of Empirical Finance, Elsevier, volume 55, issue C, pages 218-240, DOI: 10.1016/j.jempfin.2019.12.001.
• Nguyen, Linh Hoang & Chevapatrakul, Thanaset & Yao, Kai, 2020, "Investigating tail-risk dependence in the cryptocurrency markets: A LASSO quantile regression approach," Journal of Empirical Finance, Elsevier, volume 58, issue C, pages 333-355, DOI: 10.1016/j.jempfin.2020.06.006.
• Tsiakas, Ilias & Li, Jiahan & Zhang, Haibin, 2020, "Equity premium prediction and the state of the economy," Journal of Empirical Finance, Elsevier, volume 58, issue C, pages 75-95, DOI: 10.1016/j.jempfin.2020.05.004.
• Maio, Paulo & Xu, Danielle, 2020, "Cash-flow or return predictability at long horizons? The case of earnings yield," Journal of Empirical Finance, Elsevier, volume 59, issue C, pages 172-192, DOI: 10.1016/j.jempfin.2020.10.001.
• Kuntz, Laura-Chloé, 2020, "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, volume 59, issue C, pages 235-256, DOI: 10.1016/j.jempfin.2020.09.003.
• Bissoondoyal-Bheenick, Emawtee & Brooks, Robert & Do, Hung Xuan & Smyth, Russell, 2020, "Exploiting the heteroskedasticity in measurement error to improve volatility predictions in oil and biofuel feedstock markets," Energy Economics, Elsevier, volume 86, issue C, DOI: 10.1016/j.eneco.2020.104689.
• Koten, Silvester Van, 2020, "Forward premia in electricity markets: A replication study," Energy Economics, Elsevier, volume 89, issue C, DOI: 10.1016/j.eneco.2020.104812.
• Ma, Xiaohan & Samaniego, Roberto, 2020, "The macroeconomic impact of oil earnings uncertainty: New evidence from analyst forecasts," Energy Economics, Elsevier, volume 90, issue C, DOI: 10.1016/j.eneco.2020.104832.
• 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, volume 68, issue C, DOI: 10.1016/j.irfa.2020.101456.
• Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020, "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, volume 70, issue C, DOI: 10.1016/j.irfa.2017.11.007.
• Lv, Fei & Yang, Chen & Fang, Libing, 2020, "Do the crude oil futures of the Shanghai International Energy Exchange improve asset allocation of Chinese petrochemical-related stocks?," International Review of Financial Analysis, Elsevier, volume 71, issue C, DOI: 10.1016/j.irfa.2020.101537.
• Liang, Chao & Tang, Linchun & Li, Yan & Wei, Yu, 2020, "Which sentiment index is more informative to forecast stock market volatility? Evidence from China," International Review of Financial Analysis, Elsevier, volume 71, issue C, DOI: 10.1016/j.irfa.2020.101552.
• Umutlu, Mehmet & Bengitöz, Pelin, 2020, "The cross-section of industry equity returns and global tactical asset allocation across regions and industries," International Review of Financial Analysis, Elsevier, volume 72, issue C, DOI: 10.1016/j.irfa.2020.101574.
• Zavadska, Miroslava & Morales, Lucía & Coughlan, Joseph, 2020, "Brent crude oil prices volatility during major crises," Finance Research Letters, Elsevier, volume 32, issue C, DOI: 10.1016/j.frl.2018.12.026.
• Verdickt, Gertjan, 2020, "Is fertility a leading indicator for stock returns?," Finance Research Letters, Elsevier, volume 33, issue C, DOI: 10.1016/j.frl.2019.06.001.
• Çepni, Oğguzhan & Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian, 2020, "Time-varying risk aversion and the predictability of bond premia," Finance Research Letters, Elsevier, volume 34, issue C, DOI: 10.1016/j.frl.2019.07.014.
• Reus, Lorenzo & Carrasco, José A. & Pincheira, Pablo, 2020, "Do it with a smile: Forecasting volatility with currency options," Finance Research Letters, Elsevier, volume 34, issue C, DOI: 10.1016/j.frl.2019.07.024.
• Wu, Xinyu & Wang, Xiaona, 2020, "Forecasting volatility using realized stochastic volatility model with time-varying leverage effect," Finance Research Letters, Elsevier, volume 34, issue C, DOI: 10.1016/j.frl.2019.08.019.
• González-Fernández, Marcos & González-Velasco, Carmen, 2020, "An alternative approach to predicting bank credit risk in Europe with Google data," Finance Research Letters, Elsevier, volume 35, issue C, DOI: 10.1016/j.frl.2019.08.029.
• Long, Huaigang & Zaremba, Adam & Demir, Ender & Szczygielski, Jan Jakub & Vasenin, Mikhail, 2020, "Seasonality in the Cross-Section of Cryptocurrency Returns," Finance Research Letters, Elsevier, volume 35, issue C, DOI: 10.1016/j.frl.2020.101566.
• Pincheira-Brown, Pablo & Neumann, Federico, 2020, "Can we beat the Random Walk? The case of survey-based exchange rate forecasts in Chile," Finance Research Letters, Elsevier, volume 37, issue C, DOI: 10.1016/j.frl.2019.101380.
• Faria, Gonçalo & Verona, Fabio, 2020, "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, volume 50, issue C, DOI: 10.1016/j.finmar.2019.100508.
• Pham, Mia Hang, 2020, "In law we trust: Lawyer CEOs and stock liquidity," Journal of Financial Markets, Elsevier, volume 50, issue C, DOI: 10.1016/j.finmar.2020.100548.
• Adrian, Tobias & Capponi, Agostino & Fleming, Michael & Vogt, Erik & Zhang, Hongzhong, 2020, "Intraday market making with overnight inventory costs," Journal of Financial Markets, Elsevier, volume 50, issue C, DOI: 10.1016/j.finmar.2020.100564.
• Cao, Charles & Simin, Timothy & Xiao, Han, 2020, "Predicting the equity premium with the implied volatility spread," Journal of Financial Markets, Elsevier, volume 51, issue C, DOI: 10.1016/j.finmar.2019.100531.
• Çepni, Oğuzhan & Guney, I. Ethem & Gupta, Rangan & Wohar, Mark E., 2020, "The role of an aligned investor sentiment index in predicting bond risk premia of the U.S," Journal of Financial Markets, Elsevier, volume 51, issue C, DOI: 10.1016/j.finmar.2020.100541.
• Chau, Michael & Lin, Chih-Yung & Lin, Tse-Chun, 2020, "Wisdom of crowds before the 2007–2009 global financial crisis," Journal of Financial Stability, Elsevier, volume 48, issue C, DOI: 10.1016/j.jfs.2020.100741.
• Kupiec, Paul H., 2020, "Policy uncertainty and bank stress testing," Journal of Financial Stability, Elsevier, volume 51, issue C, DOI: 10.1016/j.jfs.2020.100761.
• Dicle, Mehmet F. & Levendis, John, 2020, "Historic risk and implied volatility," Global Finance Journal, Elsevier, volume 45, issue C, DOI: 10.1016/j.gfj.2019.100475.
• Gerrard, Russell & Hiabu, Munir & Nielsen, Jens Perch & Vodička, Peter, 2020, "Long-term real dynamic investment planning," Insurance: Mathematics and Economics, Elsevier, volume 92, issue C, pages 90-103, DOI: 10.1016/j.insmatheco.2020.03.002.
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