Research classified by Journal of Economic Literature (JEL) codes

2021

• Chao, Shih-Kang & Härdle, Wolfgang K. & Yuan, Ming, 2021, "Factorisable Multitask Quantile Regression," Econometric Theory, Cambridge University Press, volume 37, issue 4, pages 794-816, August.
• 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, volume 56, issue 1, pages 65-91, February.
• Doan, Minh Phuong & Sercu, Piet, 2021, "Merging One's Way to the Top: AB Inbev versus Heineken," Journal of Wine Economics, Cambridge University Press, volume 16, issue 1, pages 32-55, February.
• Ali Trabelsi Karoui & Aida Kammoun, 2021, "Exchange Rate Determination: Mixed Microstructural and Macroeconomic Approach," International Journal of Economics and Financial Issues, Econjournals, volume 11, issue 3, pages 89-106.
• 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, volume 11, issue 1, pages 41-51.
• Evaristo Navarro Manotas & Remedios Pitre Redondo & Janeka L pez Contreras & Meredith Jim nez Cardenas & Hugo Hernandez Palma, 2021, "Renewable Energies and their Advantages for the Sustainability of Companies in the Health Sector," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 531-537.
• Bharat Kumar Meher & Iqbal Thonse Hawaldar & Mathew Thomas Gil & Deebom Zorle Dum, 2021, "Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 6, pages 489-502.
• Prasad, Mason & Bakry, Walid & Varua, Maria Estela, 2021, "Abnormal volatility in seasoned equity offerings during economic disruptions," Journal of Behavioral and Experimental Finance, Elsevier, volume 30, issue C, DOI: 10.1016/j.jbef.2021.100509.
• Filiz, Ibrahim & Judek, Jan René & Lorenz, Marco & Spiwoks, Markus, 2021, "Reducing algorithm aversion through experience," Journal of Behavioral and Experimental Finance, Elsevier, volume 31, issue C, DOI: 10.1016/j.jbef.2021.100524.
• Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021, "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, volume 32, issue C, DOI: 10.1016/j.jbef.2021.100591.
• Amini, Shahram & Elmore, Ryan & Öztekin, Özde & Strauss, Jack, 2021, "Can machines learn capital structure dynamics?," Journal of Corporate Finance, Elsevier, volume 70, issue C, DOI: 10.1016/j.jcorpfin.2021.102073.
• Georges, Christophre & Pereira, Javier, 2021, "Market stability with machine learning agents," Journal of Economic Dynamics and Control, Elsevier, volume 122, issue C, DOI: 10.1016/j.jedc.2020.104032.
• Bianchi, Daniele, 2021, "Adaptive expectations and commodity risk premiums," Journal of Economic Dynamics and Control, Elsevier, volume 124, issue C, DOI: 10.1016/j.jedc.2021.104078.
• Nyman, Rickard & Kapadia, Sujit & Tuckett, David, 2021, "News and narratives in financial systems: Exploiting big data for systemic risk assessment," Journal of Economic Dynamics and Control, Elsevier, volume 127, issue C, DOI: 10.1016/j.jedc.2021.104119.
• 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, volume 69, issue C, pages 208-224, DOI: 10.1016/j.eap.2020.12.008.
• Lehrer, Steven & Xie, Tian & Zhang, Xinyu, 2021, "Social media sentiment, model uncertainty, and volatility forecasting," Economic Modelling, Elsevier, volume 102, issue C, DOI: 10.1016/j.econmod.2021.105556.
• Shang, Yuhuang & Zheng, Tingguo, 2021, "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, volume 95, issue C, pages 462-472, DOI: 10.1016/j.econmod.2020.03.013.
• 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, volume 96, issue C, pages 209-219, DOI: 10.1016/j.econmod.2021.01.005.
• Hu, Shuowen & Poskitt, D.S. & Zhang, Xibin, 2021, "Bayesian estimation for a semiparametric nonlinear volatility model," Economic Modelling, Elsevier, volume 98, issue C, pages 361-370, DOI: 10.1016/j.econmod.2020.11.005.
• 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, volume 57, issue C, DOI: 10.1016/j.najef.2021.101442.
• Shu, Min & Song, Ruiqiang & Zhu, Wei, 2021, "The ‘COVID’ crash of the 2020 U.S. Stock market," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101497.
• Chen, Zilin & Gang, Jianhua & Qian, Zongxin, 2021, "Stock returns and carry trades," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101507.
• Xu, Yongan & Wang, Jianqiong & Chen, Zhonglu & Liang, Chao, 2021, "Economic policy uncertainty and stock market returns: New evidence," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101525.
• Qiu, Yue, 2021, "Complete subset least squares support vector regression," Economics Letters, Elsevier, volume 200, issue C, DOI: 10.1016/j.econlet.2021.109737.
• Gross, Christian & Jarmuzek, Mariusz & Pancaro, Cosimo, 2021, "Macro-stress testing dividend income. Evidence from euro area banks," Economics Letters, Elsevier, volume 201, issue C, DOI: 10.1016/j.econlet.2021.109763.
• Akyildirim, Erdinc & Aysan, Ahmet Faruk & Cepni, Oguzhan & Darendeli, S. Pinar Ceyhan, 2021, "Do investor sentiments drive cryptocurrency prices?," Economics Letters, Elsevier, volume 206, issue C, DOI: 10.1016/j.econlet.2021.109980.
• Qiu, Yue & Wang, Yifan & Xie, Tian, 2021, "Forecasting Bitcoin realized volatility by measuring the spillover effect among cryptocurrencies," Economics Letters, Elsevier, volume 208, issue C, DOI: 10.1016/j.econlet.2021.110092.
• Fiorentini, Gabriele & Sentana, Enrique, 2021, "New testing approaches for mean–variance predictability," Journal of Econometrics, Elsevier, volume 222, issue 1, pages 516-538, DOI: 10.1016/j.jeconom.2020.07.014.
• Jaskowski, Marcin & McAleer, Michael, 2021, "Spurious cross-sectional dependence in credit spread changes," Econometrics and Statistics, Elsevier, volume 18, issue C, pages 12-27, DOI: 10.1016/j.ecosta.2019.09.001.
• 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, volume 293, issue 2, pages 786-801, DOI: 10.1016/j.ejor.2020.12.051.
• 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, volume 62, issue C, pages 179-201, DOI: 10.1016/j.jempfin.2021.03.003.
• Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021, "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, volume 63, issue C, pages 252-269, DOI: 10.1016/j.jempfin.2021.07.009.
• Calice, Giovanni & Lin, Ming-Tsung, 2021, "Exploring risk premium factors for country equity returns," Journal of Empirical Finance, Elsevier, volume 63, issue C, pages 294-322, DOI: 10.1016/j.jempfin.2021.07.003.
• Ewald, Christian & Zou, Yihan, 2021, "Stochastic volatility: A tale of co-jumps, non-normality, GMM and high frequency data," Journal of Empirical Finance, Elsevier, volume 64, issue C, pages 37-52, DOI: 10.1016/j.jempfin.2021.08.006.
• Han, Yang & Jiao, Anqi & Ma, Jun, 2021, "The predictive power of Nelson–Siegel factor loadings for the real economy," Journal of Empirical Finance, Elsevier, volume 64, issue C, pages 95-127, DOI: 10.1016/j.jempfin.2021.04.008.
• Algieri, Bernardina & Leccadito, Arturo & Tunaru, Diana, 2021, "Risk premia in electricity derivatives markets," Energy Economics, Elsevier, volume 100, issue C, DOI: 10.1016/j.eneco.2021.105300.
• Lyócsa, Štefan & Todorova, Neda, 2021, "What drives volatility of the U.S. oil and gas firms?," Energy Economics, Elsevier, volume 100, issue C, DOI: 10.1016/j.eneco.2021.105367.
• Ladokhin, Sergiy & Borovkova, Svetlana, 2021, "Three-factor commodity forward curve model and its joint P and Q dynamics," Energy Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.eneco.2021.105418.
• Patra, Saswat, 2021, "Revisiting value-at-risk and expected shortfall in oil markets under structural breaks: The role of fat-tailed distributions," Energy Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.eneco.2021.105452.
• 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, volume 93, issue C, DOI: 10.1016/j.eneco.2019.104481.
• Iyke, Bernard Njindan & Tran, Vuong Thao & Narayan, Paresh Kumar, 2021, "Can energy security predict energy stock returns?," Energy Economics, Elsevier, volume 94, issue C, DOI: 10.1016/j.eneco.2020.105052.
• Dai, Zhifeng & Zhou, Huiting & Kang, Jie & Wen, Fenghua, 2021, "The skewness of oil price returns and equity premium predictability," Energy Economics, Elsevier, volume 94, issue C, DOI: 10.1016/j.eneco.2020.105069.
• Nguyen, Quyen & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda, 2021, "Predicting corporate carbon footprints for climate finance risk analyses: A machine learning approach," Energy Economics, Elsevier, volume 95, issue C, DOI: 10.1016/j.eneco.2021.105129.
• He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021, "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, volume 97, issue C, DOI: 10.1016/j.eneco.2021.105189.
• Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2021, "Investor heterogeneity and momentum-based trading strategies in China," International Review of Financial Analysis, Elsevier, volume 74, issue C, DOI: 10.1016/j.irfa.2020.101654.
• 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, volume 75, issue C, DOI: 10.1016/j.irfa.2021.101753.
• 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, volume 76, issue C, DOI: 10.1016/j.irfa.2021.101776.
• Vigo Pereira, Caio, 2021, "Portfolio efficiency with high-dimensional data as conditioning information," International Review of Financial Analysis, Elsevier, volume 77, issue C, DOI: 10.1016/j.irfa.2021.101811.
• Nonejad, Nima, 2021, "Predicting equity premium using news-based economic policy uncertainty: Not all uncertainty changes are equally important," International Review of Financial Analysis, Elsevier, volume 77, issue C, DOI: 10.1016/j.irfa.2021.101818.
• Doan, Minh Phuong & Sercu, Piet, 2021, "Modelling multiperiod patterns in stock-market reactions to events, with an application to serial acquisitions," International Review of Financial Analysis, Elsevier, volume 77, issue C, DOI: 10.1016/j.irfa.2021.101854.
• Fei, Tianlun & Liu, Xiaoquan, 2021, "Herding and market volatility," International Review of Financial Analysis, Elsevier, volume 78, issue C, DOI: 10.1016/j.irfa.2021.101880.
• Zaremba, Adam & Bilgin, Mehmet Huseyin & Long, Huaigang & Mercik, Aleksander & Szczygielski, Jan J., 2021, "Up or down? Short-term reversal, momentum, and liquidity effects in cryptocurrency markets," International Review of Financial Analysis, Elsevier, volume 78, issue C, DOI: 10.1016/j.irfa.2021.101908.
• Liu, Zhenya & Lu, Shanglin & Wang, Shixuan, 2021, "Asymmetry, tail risk and time series momentum," International Review of Financial Analysis, Elsevier, volume 78, issue C, DOI: 10.1016/j.irfa.2021.101938.
• 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, volume 38, issue C, DOI: 10.1016/j.frl.2020.101510.
• Xu, Qiuhua & Zhang, Yixuan & Zhang, Ziyang, 2021, "Tail-risk spillovers in cryptocurrency markets," Finance Research Letters, Elsevier, volume 38, issue C, DOI: 10.1016/j.frl.2020.101453.
• Wu, Xinyu & Xie, Haibin, 2021, "A realized EGARCH-MIDAS model with higher moments," Finance Research Letters, Elsevier, volume 38, issue C, DOI: 10.1016/j.frl.2019.101392.
• Bouri, Elie & Demirer, Riza & Gupta, Rangan & Wohar, Mark E., 2021, "Gold, platinum and the predictability of bond risk premia," Finance Research Letters, Elsevier, volume 38, issue C, DOI: 10.1016/j.frl.2020.101490.
• Kinateder, Harald & Papavassiliou, Vassilios G., 2021, "Calendar effects in Bitcoin returns and volatility," Finance Research Letters, Elsevier, volume 38, issue C, DOI: 10.1016/j.frl.2019.101420.
• 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, volume 38, issue C, DOI: 10.1016/j.frl.2019.101425.
• 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, volume 39, issue C, DOI: 10.1016/j.frl.2020.101614.
• Kladívko, Kamil & Österholm, Pär, 2021, "Do market participants’ forecasts of financial variables outperform the random-walk benchmark?," Finance Research Letters, Elsevier, volume 40, issue C, DOI: 10.1016/j.frl.2020.101712.
• Apergis, Nicholas & Koutmos, Dimitrios & Payne, James E., 2021, "Convergence in cryptocurrency prices? the role of market microstructure," Finance Research Letters, Elsevier, volume 40, issue C, DOI: 10.1016/j.frl.2020.101685.
• Madan, Dilip B. & Wang, King, 2021, "The structure of financial returns," Finance Research Letters, Elsevier, volume 40, issue C, DOI: 10.1016/j.frl.2020.101665.
• Burggraf, Tobias & Rudolf, Markus, 2021, "Cryptocurrencies and the low volatility anomaly," Finance Research Letters, Elsevier, volume 40, issue C, DOI: 10.1016/j.frl.2020.101683.
• Iyke, Bernard Njindan & Ho, Sin-Yu, 2021, "Stock return predictability over four centuries: The role of commodity returns," Finance Research Letters, Elsevier, volume 40, issue C, DOI: 10.1016/j.frl.2020.101711.
• Taussig, Roi D., 2021, "Competition risk and expected stock returns," Finance Research Letters, Elsevier, volume 41, issue C, DOI: 10.1016/j.frl.2020.101860.
• Chang, Danting, 2021, "Fundamental anomalies and the size puzzle in China: A data mining approach," Finance Research Letters, Elsevier, volume 42, issue C, DOI: 10.1016/j.frl.2020.101907.
• Bouri, Elie & Gupta, Rangan & Majumdar, Anandamayee & Subramaniam, Sowmya, 2021, "Time-varying risk aversion and forecastability of the US term structure of interest rates," Finance Research Letters, Elsevier, volume 42, issue C, DOI: 10.1016/j.frl.2021.101924.
• Boubaker, Sabri & Liu, Zhenya & Lu, Shanglin & Zhang, Yifan, 2021, "Trading signal, functional data analysis and time series momentum," Finance Research Letters, Elsevier, volume 42, issue C, DOI: 10.1016/j.frl.2021.101933.
• Guidolin, Massimo & Pedio, Manuela, 2021, "Media Attention vs. Sentiment as Drivers of Conditional Volatility Predictions: An Application to Brexit," Finance Research Letters, Elsevier, volume 42, issue C, DOI: 10.1016/j.frl.2021.101943.
• Maheu, John M. & McCurdy, Thomas H. & Song, Yong, 2021, "Bull and bear markets during the COVID-19 pandemic," Finance Research Letters, Elsevier, volume 42, issue C, DOI: 10.1016/j.frl.2021.102091.
• Umar, Zaghum & Riaz, Yasir & Zaremba, Adam, 2021, "Patterns of Spillover in Energy, Agricultural, and Metal Markets: A Connectedness Analysis for Years 1780-2020," Finance Research Letters, Elsevier, volume 43, issue C, DOI: 10.1016/j.frl.2021.101999.
• Hou, Tony Chieh-Tse & Gao, Simon, 2021, "The impact of economic freedom on financial analysts' earnings forecast: Evidence from the Asia-Pacific region," Finance Research Letters, Elsevier, volume 43, issue C, DOI: 10.1016/j.frl.2021.102009.
• Castillo, Brenda & León, Ángel & Ñíguez, Trino-Manuel, 2021, "Backtesting VaR under the COVID-19 sudden changes in volatility," Finance Research Letters, Elsevier, volume 43, issue C, DOI: 10.1016/j.frl.2021.102024.
• Baruník, Jozef & Čech, František, 2021, "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, volume 52, issue C, DOI: 10.1016/j.finmar.2020.100562.
• Wang, Yudong & Hao, Xianfeng & Wu, Chongfeng, 2021, "Forecasting stock returns: A time-dependent weighted least squares approach," Journal of Financial Markets, Elsevier, volume 53, issue C, DOI: 10.1016/j.finmar.2020.100568.
• Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2021, "CoMap: Mapping Contagion in the Euro Area Banking Sector," Journal of Financial Stability, Elsevier, volume 53, issue C, DOI: 10.1016/j.jfs.2020.100814.
• Baker, H. Kent & Kumar, Satish & Pandey, Nitesh, 2021, "Thirty years of the Global Finance Journal: A bibliometric analysis," Global Finance Journal, Elsevier, volume 47, issue C, DOI: 10.1016/j.gfj.2019.100492.
• Park, Jin Suk & Newaz, Mohammad Khaleq, 2021, "Liquidity and short-run predictability: Evidence from international stock markets," Global Finance Journal, Elsevier, volume 50, issue C, DOI: 10.1016/j.gfj.2021.100673.
• McGuinness, Paul B., 2021, "Board member age, stock seasoning and the evolution of capital structure in Chinese firms," International Business Review, Elsevier, volume 30, issue 3, DOI: 10.1016/j.ibusrev.2020.101769.
• Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021, "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, volume 132, issue C, DOI: 10.1016/j.jinteco.2021.103512.
• Urom, Christian & Ndubuisi, Gideon & Ozor, Jude, 2021, "Economic activity, and financial and commodity markets’ shocks: An analysis of implied volatility indexes," International Economics, Elsevier, volume 165, issue C, pages 51-66, DOI: 10.1016/j.inteco.2020.11.005.
• Adekoya, Oluwasegun B. & Ogunbowale, Gideon O. & Akinseye, Ademola B. & Oduyemi, Gabriel O., 2021, "Improving the predictability of stock returns with global financial cycle and oil price in oil-exporting African countries," International Economics, Elsevier, volume 168, issue C, pages 166-181, DOI: 10.1016/j.inteco.2021.10.001.
• 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, volume 72, issue C, DOI: 10.1016/j.intfin.2021.101340.
• 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, volume 72, issue C, DOI: 10.1016/j.intfin.2021.101343.
• Sermpinis, Georgios & Hassanniakalager, Arman & Stasinakis, Charalampos & Psaradellis, Ioannis, 2021, "Technical analysis profitability and Persistence: A discrete false discovery approach on MSCI indices," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 73, issue C, DOI: 10.1016/j.intfin.2021.101353.
• Pigini, Claudia, 2021, "Penalized maximum likelihood estimation of logit-based early warning systems," International Journal of Forecasting, Elsevier, volume 37, issue 3, pages 1156-1172, DOI: 10.1016/j.ijforecast.2021.01.004.
• Çela, Eranda & Hafner, Stephan & Mestel, Roland & Pferschy, Ulrich, 2021, "Mean-variance portfolio optimization based on ordinal information," Journal of Banking & Finance, Elsevier, volume 122, issue C, DOI: 10.1016/j.jbankfin.2020.105989.
• 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, volume 124, issue C, DOI: 10.1016/j.jbankfin.2021.106060.
• 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, volume 125, issue C, DOI: 10.1016/j.jbankfin.2021.106046.
• Anghel, Dan Gabriel, 2021, "Data Snooping Bias in Tests of the Relative Performance of Multiple Forecasting Models," Journal of Banking & Finance, Elsevier, volume 126, issue C, DOI: 10.1016/j.jbankfin.2021.106113.
• Atanasov, Victoria, 2021, "Unemployment and aggregate stock returns," Journal of Banking & Finance, Elsevier, volume 129, issue C, DOI: 10.1016/j.jbankfin.2021.106159.
• John, Kose & Li, Jingrui, 2021, "COVID-19, volatility dynamics, and sentiment trading," Journal of Banking & Finance, Elsevier, volume 133, issue C, DOI: 10.1016/j.jbankfin.2021.106162.
• Wang, Qiao & Balvers, Ronald, 2021, "Determinants and predictability of commodity producer returns," Journal of Banking & Finance, Elsevier, volume 133, issue C, DOI: 10.1016/j.jbankfin.2021.106278.
• Kukacka, Jiri & Kristoufek, Ladislav, 2021, "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, volume 192, issue C, pages 324-356, DOI: 10.1016/j.jebo.2021.10.007.
• Grønborg, Niels S. & Lunde, Asger & Timmermann, Allan & Wermers, Russ, 2021, "Picking funds with confidence," Journal of Financial Economics, Elsevier, volume 139, issue 1, pages 1-28, DOI: 10.1016/j.jfineco.2020.07.003.
• Barro, Robert J. & Liao, Gordon Y., 2021, "Rare disaster probability and options pricing," Journal of Financial Economics, Elsevier, volume 139, issue 3, pages 750-769, DOI: 10.1016/j.jfineco.2020.10.001.
• Huang, Dashan & Li, Jiangyuan & Wang, Liyao, 2021, "Are disagreements agreeable? Evidence from information aggregation," Journal of Financial Economics, Elsevier, volume 141, issue 1, pages 83-101, DOI: 10.1016/j.jfineco.2021.02.006.
• Jiang, Hao & Li, Sophia Zhengzi & Wang, Hao, 2021, "Pervasive underreaction: Evidence from high-frequency data," Journal of Financial Economics, Elsevier, volume 141, issue 2, pages 573-599, DOI: 10.1016/j.jfineco.2021.04.003.
• Sharifkhani, Ali & Simutin, Mikhail, 2021, "Feedback loops in industry trade networks and the term structure of momentum profits," Journal of Financial Economics, Elsevier, volume 141, issue 3, pages 1171-1187, DOI: 10.1016/j.jfineco.2021.04.028.
• Bond, Philip & Dow, James, 2021, "Failing to forecast rare events," Journal of Financial Economics, Elsevier, volume 142, issue 3, pages 1001-1016, DOI: 10.1016/j.jfineco.2021.06.028.
• 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, volume 43, issue C, DOI: 10.1016/j.intaccaudtax.2021.100383.
• Megaritis, Anastasios & Vlastakis, Nikolaos & Triantafyllou, Athanasios, 2021, "Stock market volatility and jumps in times of uncertainty," Journal of International Money and Finance, Elsevier, volume 113, issue C, DOI: 10.1016/j.jimonfin.2021.102355.
• Diaz, Elena Maria & Perez-Quiros, Gabriel, 2021, "GEA tracker: A daily indicator of global economic activity," Journal of International Money and Finance, Elsevier, volume 115, issue C, DOI: 10.1016/j.jimonfin.2021.102400.
• Consoli, Sergio & Pezzoli, Luca Tiozzo & Tosetti, Elisa, 2021, "Emotions in macroeconomic news and their impact on the European bond market," Journal of International Money and Finance, Elsevier, volume 118, issue C, DOI: 10.1016/j.jimonfin.2021.102472.
• Hollstein, Fabian & Prokopczuk, Marcel & Tharann, Björn & Wese Simen, Chardin, 2021, "Predictability in commodity markets: Evidence from more than a century," Journal of Commodity Markets, Elsevier, volume 24, issue C, DOI: 10.1016/j.jcomm.2021.100171.
• Stoupos, Nikolaos & Kiohos, Apostolos, 2021, "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, volume 70, issue C, DOI: 10.1016/j.resourpol.2020.101887.
• Pincheira, Pablo & Hardy, Nicolás, 2021, "Forecasting aluminum prices with commodity currencies," Resources Policy, Elsevier, volume 73, issue C, DOI: 10.1016/j.resourpol.2021.102066.
• Piccoli, Pedro & de Castro, Jessica, 2021, "Attention-return relation in the gold market and market states," Resources Policy, Elsevier, volume 74, issue C, DOI: 10.1016/j.resourpol.2021.102333.
• Barón, Andrea & Landaberry, María Victoria & Lluberas, Rodrigo & Ponce, Jorge, 2021, "Commercial and banking credit network in Uruguay," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 2, issue 3, DOI: 10.1016/j.latcb.2021.100034.
• Akyildirim, Erdinc & Sensoy, Ahmet & Gulay, Guzhan & Corbet, Shaen & Salari, Hajar Novin, 2021, "Big data analytics, order imbalance and the predictability of stock returns," Journal of Multinational Financial Management, Elsevier, volume 62, issue C, DOI: 10.1016/j.mulfin.2021.100717.
• Ho, Tu & Lv, Jin Roc & Schultz, Emma, 2021, "Market intraday momentum in Australia," Pacific-Basin Finance Journal, Elsevier, volume 65, issue C, DOI: 10.1016/j.pacfin.2021.101499.
• 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, volume 67, issue C, DOI: 10.1016/j.pacfin.2021.101522.
• 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, volume 67, issue C, DOI: 10.1016/j.pacfin.2021.101553.
• Umar, Zaghum & Yousaf, Imran & Aharon, David Y., 2021, "The relationship between yield curve components and equity sectorial indices: Evidence from China," Pacific-Basin Finance Journal, Elsevier, volume 68, issue C, DOI: 10.1016/j.pacfin.2021.101591.
• Chiang, Mi-Hsiu & Chiu, Hsin-Yu & Kuo, Wei-Yu, 2021, "Predictive ability of similarity-based futures trading strategies," Pacific-Basin Finance Journal, Elsevier, volume 68, issue C, DOI: 10.1016/j.pacfin.2021.101616.
• 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, volume 569, issue C, DOI: 10.1016/j.physa.2020.125367.
• Borgards, Oliver & Czudaj, Robert L., 2021, "Features of overreactions in the cryptocurrency market," The Quarterly Review of Economics and Finance, Elsevier, volume 80, issue C, pages 31-48, DOI: 10.1016/j.qref.2021.01.010.
• Tissaoui, Kais & Zaghdoudi, Taha, 2021, "Dynamic connectedness between the U.S. financial market and Euro-Asian financial markets: Testing transmission of uncertainty through spatial regressions models," The Quarterly Review of Economics and Finance, Elsevier, volume 81, issue C, pages 481-492, DOI: 10.1016/j.qref.2020.10.020.
• Ulze, Markus & Stadler, Johannes & Rathgeber, Andreas W., 2021, "No country for old distributions? On the comparison of implied option parameters between the Brownian motion and variance gamma process," The Quarterly Review of Economics and Finance, Elsevier, volume 82, issue C, pages 163-184, DOI: 10.1016/j.qref.2021.08.004.
• Kim, Hyun-Dong & Park, Kwangwoo & Song, Kyojik Roy, 2021, "Organization capital and analysts’ forecasts," International Review of Economics & Finance, Elsevier, volume 71, issue C, pages 762-778, DOI: 10.1016/j.iref.2020.10.009.
• 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, volume 71, issue C, pages 811-829, DOI: 10.1016/j.iref.2020.10.001.
• Chen, Shun & Ge, Lei, 2021, "A learning-based strategy for portfolio selection," International Review of Economics & Finance, Elsevier, volume 71, issue C, pages 936-942, DOI: 10.1016/j.iref.2020.07.010.
• Rakovská, Zuzana, 2021, "Composite survey sentiment as a predictor of future market returns: Evidence for German equity indices," International Review of Economics & Finance, Elsevier, volume 73, issue C, pages 473-495, DOI: 10.1016/j.iref.2020.12.022.
• 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, volume 74, issue C, pages 311-333, DOI: 10.1016/j.iref.2021.03.010.
• Yang, Haijun & Xue, Feng, 2021, "Analysis of stock market volatility: Adjusted VPIN with high-frequency data," International Review of Economics & Finance, Elsevier, volume 75, issue C, pages 210-222, DOI: 10.1016/j.iref.2021.04.003.
• Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2021, "Systemic-systematic risk in financial system: A dynamic ranking based on expectiles," International Review of Economics & Finance, Elsevier, volume 75, issue C, pages 330-365, DOI: 10.1016/j.iref.2021.04.001.
• Lin, Sihan & Chen, Shoudong, 2021, "Dynamic connectedness of major financial markets in China and America," International Review of Economics & Finance, Elsevier, volume 75, issue C, pages 646-656, DOI: 10.1016/j.iref.2021.04.033.
• Zhou, Xuemei & Liu, Qiang & Guo, Shuxin, 2021, "Do overnight returns explain firm-specific investor sentiment in China?," International Review of Economics & Finance, Elsevier, volume 76, issue C, pages 451-477, DOI: 10.1016/j.iref.2021.06.003.
• Ding, Xin & Tan, Wenhao & Kang, Yixuan, 2021, "The spillover effect of regulatory penalties on management and analysts’ earnings forecasts: Empirical evidence based on directors networks in China," International Review of Economics & Finance, Elsevier, volume 76, issue C, pages 502-515, DOI: 10.1016/j.iref.2021.07.003.
• 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, volume 55, issue C, DOI: 10.1016/j.ribaf.2020.101316.
• 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, volume 57, issue C, DOI: 10.1016/j.ribaf.2021.101402.
• Duan, Yuejiao & Liu, Lanbiao & Wang, Zhuo, 2021, "COVID-19 Sentiment and the Chinese Stock Market: Evidence from the Official News Media and Sina Weibo," Research in International Business and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.ribaf.2021.101432.
• Edson Z. Monte & Lucas B. Defanti, 2021, "Dynamic Interdependence and Volatility Transmission from the American to the Brazilian Stock Market," EERI Research Paper Series, Economics and Econometrics Research Institute (EERI), Brussels, number EERI RP 2021/09, Oct.
• 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 Limited, volume 29, issue 2, pages 192-226, February, DOI: 10.1108/ARA-03-2020-0036.
• Omar Esqueda & Thanh Ngo & Daphne Wang, 2021, "The information content of managerial insider trading: evidence from analyst forecasts," Asian Review of Accounting, Emerald Group Publishing Limited, volume 29, issue 3, pages 332-361, June, DOI: 10.1108/ARA-04-2020-0062.
• Lu Yang, 2021, "Last hour momentum in the Chinese stock market," China Finance Review International, Emerald Group Publishing Limited, volume 12, issue 1, pages 69-100, September, DOI: 10.1108/CFRI-06-2021-0106.
• Saji Thazhugal Govindan Nair, 2021, "Measuring volatility spillovers and asymmetric responses of Agri commodity prices: evidence from spices and rubber futures in India," Indian Growth and Development Review, Emerald Group Publishing Limited, volume 14, issue 2, pages 242-267, June, DOI: 10.1108/IGDR-10-2020-0147.
• Mohammad Abdullah, 2021, "The implication of machine learning for financial solvency prediction: an empirical analysis on public listed companies of Bangladesh," Journal of Asian Business and Economic Studies, Emerald Group Publishing Limited, volume 28, issue 4, pages 303-320, June, DOI: 10.1108/JABES-11-2020-0128.
• Ramona Serrano Bautista & José Antonio Núñez Mora, 2021, "Value-at-risk predictive performance: a comparison between the CaViaR and GARCH models for the MILA and ASEAN-5 stock markets," Journal of Economics, Finance and Administrative Science, Emerald Group Publishing Limited, volume 26, issue 52, pages 197-221, November, DOI: 10.1108/JEFAS-03-2021-0009.
• Ishay Wolf & Jose Maria Caridad y Ocerin, 2021, "The transition to a multi-pillar pension system: the inherent socio-economic anomaly," Journal of Financial Economic Policy, Emerald Group Publishing Limited, volume 13, issue 6, pages 755-771, February, DOI: 10.1108/JFEP-07-2020-0162.
• Mustapha Ishaq Akinlaso & Aroua Robbana & Nura Mohamed, 2021, "Volatility transmission within financial markets during the COVID-19 pandemic: are faith-based investors well off in Tunisia?," Journal of Islamic Accounting and Business Research, Emerald Group Publishing Limited, volume 13, issue 1, pages 98-113, December, DOI: 10.1108/JIABR-12-2020-0388.
• Ka Shing Cheung & Joshua Lee, 2021, "The effect of sentiment on commercial real estate returns: investor and occupier perspectives," Journal of Property Investment & Finance, Emerald Group Publishing Limited, volume 39, issue 6, pages 561-589, January, DOI: 10.1108/JPIF-01-2020-0010.
• Sebastian Schlütter, 2021, "Scenario-based measurement of interest rate risks," Journal of Risk Finance, Emerald Group Publishing Limited, volume 22, issue 1, pages 56-77, May, DOI: 10.1108/JRF-11-2020-0228.
• Bei Chen & Quan Gan, 2021, "Measuring gambling activity in options market," Review of Behavioral Finance, Emerald Group Publishing Limited, volume 14, issue 3, pages 345-378, March, DOI: 10.1108/RBF-08-2020-0206.
• Tonmoy Choudhury & Kevin Daly, 2021, "Systemic risk contagion within US states," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 38, issue 4, pages 836-860, May, DOI: 10.1108/SEF-08-2020-0342.
• Ramiro Bautista Espinosa & Diana Terrazas Santamaría, 2021, "La viabilidad de invertir en almacenamiento de energía solar en México: un enfoque de opciones reales," Serie documentos de trabajo del Centro de Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, number 2021-09, Nov.
• Tunahan Yilmaz, 2021, "Optimal Dynamic Hedging in Selected Markets," International Econometric Review (IER), Econometric Research Association, volume 13, issue 4, pages 89-117, December.
• Andrzej Geise & Magdalena Kuczmarska & Jarosław Pawlowski, 2021, "Corporate Failure Prediction of Construction Companies in Poland: Evidence from Logit Model," European Research Studies Journal, European Research Studies Journal, volume 0, issue 1, pages 99-116.
• Eryka Probierz & Adam Galuszka & Katarzyna Klimczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2021, "Financial Sentiment on Twitter's Community and it's Connection to Polish Stock Market Movements in Context of Behavior Modelling," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4 - Part , pages 56-65.
• Bartosz Chorkowy & Agnieszka Bobrowska, 2021, "Influence of Pillar 3 of Pension System on Retirement Pensions Level in Poland: Will Voluntary Part of System Enable Decent Life in Old Age?," European Research Studies Journal, European Research Studies Journal, volume 0, issue Special 1, pages 975-988.
• Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2022, "Extensions to IVX Methods of Inference for Return Predictability," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 29779, Feb.
• Martin Mandel & Jan Vejmelek, 2021, "Testing the Properties of Financial Analysts’ Predictions of Future Spot Exchange Rates (Example of CZK/EUR)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 71, issue 1, pages 33-51, June.
• Michal Kuchta, 2021, "Scenario Generation for IFRS9 Purposes using a Bayesian MS-VAR Model," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2021/10, Apr, revised Apr 2021.
• Barbora Malinska, 2021, "Forecasting Sovereign Bond Realized Volatility Using Time-Varying Coefficients Model," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2021/19, Jun, revised Jun 2021.
• Jens H. E. Christensen & Mark M. Spiegel, 2022, "Central Bank Credibility During COVID-19: Evidence from Japan," Working Paper Series, Federal Reserve Bank of San Francisco, number 2021-24, Aug, DOI: 10.24148/wp2021-24.
• Marcin Dec, 2021, "Parsimonious yield curve modeling in less liquid markets," GRAPE Working Papers, GRAPE Group for Research in Applied Economics, number 52.
• Abramov Alexander & Kosyrev Andrey & Radygin Alexander & Chernova Maria, 2021, "Behavior of Private Investors in the Stock Markets of Russia and the US
  [Поведение Частных Инвесторов На Фондовых Рынках России И Сша]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 54-59, December.
• Abramov Alexander & Kosyrev Andrey & Radygin Alexander & Chernova Maria, 2021, "Поведение Частных Инвесторов На Фондовых Рынках России И Сша," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 54-59, December.
• Paul Anglin & Jianxin Cui & Yanmin Gao & Li Zhang, 2021, "Analyst Forecasts during the COVID-19 Pandemic: Evidence from REITs," JRFM, MDPI, volume 14, issue 10, pages 1-21, September.
• Tamás Kiss & Hoang Nguyen & Pär Österholm, 2021, "Modelling Returns in US Housing Prices—You’re the One for Me, Fat Tails," JRFM, MDPI, volume 14, issue 11, pages 1-17, October.
• Joana Almeida & Raquel M. Gaspar, 2021, "Accuracy of European Stock Target Prices," JRFM, MDPI, volume 14, issue 9, pages 1-27, September.
• Rui Pedro Brito & Pedro Alarcão Judice, 2021, "Efficient credit portfolios under IFRS 9," CeBER Working Papers, Centre for Business and Economics Research (CeBER), University of Coimbra, number 2021-07, Jul.
• Sabri Boubaker & Zhenya Liu & Shanglin Lu & Yifan Zhang, 2021, "Trading signal, functional data analysis and time series momentum," Post-Print, HAL, number hal-03323675, Oct, DOI: 10.1016/j.frl.2021.101933.
• Zhenya Liu & Shanglin Lu & Shixuan Wang, 2021, "Asymmetry, tail risk and time series momentum," Post-Print, HAL, number hal-03511436, Nov, DOI: 10.1016/j.irfa.2021.101938.
• Sabri Boubaker & Zhenya Liu & Shanglin Lu & Yifan Zhang, 2021, "Trading signal, functional data analysis and time series momentum," Post-Print, HAL, number hal-04455593, DOI: 10.1016/j.frl.2021.101933.
• Fredj Jawadi & Hachmi Ben Ameur & Stephanie Bigou & Alexis Flageollet, 2021, "Does the Real Business Cycle Help Forecast the Financial Cycle?," Post-Print, HAL, number hal-04478764, Sep, DOI: 10.1007/s10614-021-10193-8.
• Khalid Ahmed Al-Ansari & Ahmet Faruk Aysan, 2021, "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading?
  [Plus de dix ans de création Blockchain : Comment avons-nous utilisé la techno," Working Papers, HAL, number hal-03343048, Sep.
• Virk, Nader & Javed, Farrukh & Awartani, Basel, 2021, "A reality check on the GARCH-MIDAS volatility models," Working Papers, Örebro University, School of Business, number 2021:2, Mar.
• 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, Örebro University, School of Business, number 2021:9, May.
• Bianchi, Daniele & Babiak, Mykola, 2021, "On the Performance of Cryptocurrency Funds," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 408, Nov.
• Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2021, "Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility," Discussion paper series, Hitotsubashi Institute for Advanced Study, Hitotsubashi University, number HIAS-E-104, Jan.
• Shih-Ping Feng, 2021, "The Information Content Of Option Trading And Liquidity Risk," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, volume 15, issue 1, pages 89-98.
• 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, volume 16, issue 1, pages 1-21, Enero - M.
• Jaime Alberto Gómez Vilchis & Federico Hernández Álvarez & Luis Ignacio Román de la Sancha, 2021, "Autómata Evolutivo (AE) para el mercado accionario usando Martingalas y un Algoritmo Genético," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 16, issue 4, pages 1-22, Octubre -.
• Erdinc Akyildirim & Ahmet Goncu & Alper Hekimoglu & Duc Khuong Nguyen & Ahmet Sensoy, 2021, "Statistical Arbitrage: Factor Investing Approach," Working Papers, Department of Research, Ipag Business School, number 2021-003, Jan.
• Juan David Vega Baquero & Miguel Santolino, 2021, ""Too big to fail? An analysis of the Colombian banking system through compositional data"," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202111, Apr, revised Apr 2021.
• Brandon Flores & Blessing Ofori-Atta & Andrey Sarantsev, 2021, "A stock market model based on CAPM and market size," Annals of Finance, Springer, volume 17, issue 3, pages 405-424, September, DOI: 10.1007/s10436-021-00390-8.
• 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, volume 28, issue 2, pages 153-168, June, DOI: 10.1007/s10690-020-09311-7.
• Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou, 2021, "Gold Against the Machine," Computational Economics, Springer;Society for Computational Economics, volume 57, issue 1, pages 5-28, January, DOI: 10.1007/s10614-020-10019-z.
• 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, volume 57, issue 1, pages 29-53, January, DOI: 10.1007/s10614-020-10022-4.
• 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, volume 57, issue 2, pages 503-527, February, DOI: 10.1007/s10614-019-09965-0.
• Julien Chevallier & Bangzhu Zhu & Lyuyuan Zhang, 2021, "Forecasting Inflection Points: Hybrid Methods with Multiscale Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, volume 57, issue 2, pages 537-575, February, DOI: 10.1007/s10614-019-09966-z.
• Daniel Hofmann & Karl Ludwig Keiber, 2021, "Seasonalities in the German stock market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 35, issue 2, pages 151-192, June, DOI: 10.1007/s11408-020-00373-1.
• Guglielmo Maria Caporale & Alex Plastun, 2021, "Gold and oil prices: abnormal returns, momentum and contrarian effects," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 35, issue 3, pages 353-368, September, DOI: 10.1007/s11408-021-00380-w.
• Benjamin R. Auer, 2021, "Have trend-following signals in commodity futures markets become less reliable in recent years?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 35, issue 4, pages 533-553, December, DOI: 10.1007/s11408-021-00385-5.
• Lu Zhang & Yuan George Shan & Millicent Chang, 2021, "Can CSR Disclosure Protect Firm Reputation During Financial Restatements?," Journal of Business Ethics, Springer, volume 173, issue 1, pages 157-184, September, DOI: 10.1007/s10551-020-04527-z.