Research classified by Journal of Economic Literature (JEL) codes

2019

• Lang, Jan Hannes & Forletta, Marco, 2019, "Bank capital-at-risk: measuring the impact of cyclical systemic risk on future bank losses," Macroprudential Bulletin, European Central Bank, volume 9.
• Lang, Jan Hannes & Izzo, Cosimo & Fahr, Stephan & Ruzicka, Josef, 2019, "Anticipating the bust: a new cyclical systemic risk indicator to assess the likelihood and severity of financial crises," Occasional Paper Series, European Central Bank, number 219, Feb.
• Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2019, "CoMap: mapping contagion in the euro area banking sector," Working Paper Series, European Central Bank, number 2224, Jan.
• Kelly, Jane & Le Blanc, Julia & Lydon, Reamonn, 2019, "Pockets of risk in European housing markets: then and now," Working Paper Series, European Central Bank, number 2277, May.
• Maqui, Eduardo & Sydow, Matthias & Gourdel, Régis, 2019, "Investment funds under stress," Working Paper Series, European Central Bank, number 2323, Oct.
• Ma, Sai & Zhang, Shaojun, 2019, "Housing Cycle and Exchange Rates," Working Paper Series, Ohio State University, Charles A. Dice Center for Research in Financial Economics, number 2019-14, May.
• Stulz, Rene M., 2019, "Public versus Private Equity," Working Paper Series, Ohio State University, Charles A. Dice Center for Research in Financial Economics, number 2019-27, Nov.
• 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, International Journal of Economics and Financial Issues, volume 9, issue 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, International Journal of Economics and Financial Issues, volume 9, issue 2, pages 189-201.
• Ra l de Jes s-Guti rrez & Roberto J. Santill n-Salgado, 2019, "Conditional Extreme Values Theory and Tail-related Risk Measures: Evidence from Latin American Stock Markets," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, volume 9, issue 3, pages 127-141.
• Arindam Banerjee, 2019, "Forecasting of India VIX as a Measure of Sentiment," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, volume 9, issue 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, International Journal of Economics and Financial Issues, volume 9, issue 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, International Journal of Economics and Financial Issues, volume 9, issue 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, International Journal of Energy Economics and Policy, volume 9, issue 2, pages 199-215.
• Akono, Henri & Karim, Khondkar & Nwaeze, Emeka, 2019, "Analyst rounding of EPS forecasts and stock recommendations," Advances in accounting, Elsevier, volume 44, issue C, pages 68-80, DOI: 10.1016/j.adiac.2018.10.002.
• 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, volume 24, issue C, DOI: 10.1016/j.jbef.2019.07.004.
• Frank, Murray Z. & Nezafat, Mahdi, 2019, "Testing the credit-market-timing hypothesis using counterfactual issuing dates," Journal of Corporate Finance, Elsevier, volume 58, issue C, pages 187-207, DOI: 10.1016/j.jcorpfin.2019.05.005.
• 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, volume 100, issue C, pages 176-199, DOI: 10.1016/j.jedc.2018.12.009.
• Fiszeder, Piotr & Fałdziński, Marcin, 2019, "Improving forecasts with the co-range dynamic conditional correlation model," Journal of Economic Dynamics and Control, Elsevier, volume 108, issue C, DOI: 10.1016/j.jedc.2019.103736.
• 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, volume 109, issue C, DOI: 10.1016/j.jedc.2019.103777.
• Oh, Sekyung & Kee, Hyukdo & Park, Kinam, 2019, "Tail risk under price limits," Economic Modelling, Elsevier, volume 77, issue C, pages 113-123, DOI: 10.1016/j.econmod.2018.12.002.
• Zhang, Yaojie & Zeng, Qing & Ma, Feng & Shi, Benshan, 2019, "Forecasting stock returns: Do less powerful predictors help?," Economic Modelling, Elsevier, volume 78, issue C, pages 32-39, DOI: 10.1016/j.econmod.2018.09.014.
• Koubaa, Yosra & Slim, Skander, 2019, "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, volume 82, issue C, pages 168-184, DOI: 10.1016/j.econmod.2019.01.003.
• 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, volume 47, issue C, pages 1-12, DOI: 10.1016/j.najef.2018.11.007.
• 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, volume 47, issue C, pages 568-596, DOI: 10.1016/j.najef.2018.06.012.
• 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, volume 47, issue C, pages 65-84, DOI: 10.1016/j.najef.2018.11.016.
• Kang, Hankil & Ryu, Doojin, 2019, "Information in mispricing factors for future investment opportunities," The North American Journal of Economics and Finance, Elsevier, volume 47, issue C, pages 657-668, DOI: 10.1016/j.najef.2018.07.006.
• 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, volume 48, issue C, pages 131-148, DOI: 10.1016/j.najef.2019.01.009.
• 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, volume 48, issue C, pages 582-590, DOI: 10.1016/j.najef.2018.07.014.
• 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, volume 48, issue C, pages 819-834, DOI: 10.1016/j.najef.2018.08.011.
• 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, volume 48, issue C, pages 857-867, DOI: 10.1016/j.najef.2018.08.010.
• Haas Ornelas, José Renato, 2019, "Expected currency returns and volatility risk premia," The North American Journal of Economics and Finance, Elsevier, volume 49, issue C, pages 206-234, DOI: 10.1016/j.najef.2019.03.015.
• Uddin, Gazi Salah & Gençay, Ramazan & Bekiros, Stelios & Sahamkhadam, Maziar, 2019, "Enhancing the predictability of crude oil markets with hybrid wavelet approaches," Economics Letters, Elsevier, volume 182, issue C, pages 50-54, DOI: 10.1016/j.econlet.2019.05.041.
• Delgado-Mohatar, Oscar & Felis-Rota, Marta & Fernández-Herraiz, Carlos, 2019, "The Bitcoin mining breakdown: Is mining still profitable?," Economics Letters, Elsevier, volume 184, issue C, DOI: 10.1016/j.econlet.2019.05.044.
• Bandi, F.M. & Perron, B. & Tamoni, A. & Tebaldi, C., 2019, "The scale of predictability," Journal of Econometrics, Elsevier, volume 208, issue 1, pages 120-140, DOI: 10.1016/j.jeconom.2018.09.008.
• Fisher, Mark & Jensen, Mark J., 2019, "Bayesian inference and prediction of a multiple-change-point panel model with nonparametric priors," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 187-202, DOI: 10.1016/j.jeconom.2018.11.012.
• Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019, "Dynamic semiparametric models for expected shortfall (and Value-at-Risk)," Journal of Econometrics, Elsevier, volume 211, issue 2, pages 388-413, DOI: 10.1016/j.jeconom.2018.10.008.
• 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, volume 212, issue 1, pages 26-46, DOI: 10.1016/j.jeconom.2019.04.019.
• Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2019, "Regime switching dynamic correlations for asymmetric and fat-tailed conditional returns," Journal of Econometrics, Elsevier, volume 213, issue 2, pages 493-515, DOI: 10.1016/j.jeconom.2019.07.002.
• Ma, Xiaohan & Samaniego, Roberto, 2019, "Deconstructing uncertainty," European Economic Review, Elsevier, volume 119, issue C, pages 22-41, DOI: 10.1016/j.euroecorev.2019.06.004.
• Zhi, Tianhao & Li, Zhongfei & Jiang, Zhiqiang & Wei, Lijian & Sornette, Didier, 2019, "Is there a housing bubble in China?," Emerging Markets Review, Elsevier, volume 39, issue C, pages 120-132, DOI: 10.1016/j.ememar.2019.04.005.
• Trucíos, Carlos & Hotta, Luiz K. & Valls Pereira, Pedro L., 2019, "On the robustness of the principal volatility components," Journal of Empirical Finance, Elsevier, volume 52, issue C, pages 201-219, DOI: 10.1016/j.jempfin.2019.03.006.
• Kearney, Fearghal & Cummins, Mark & Murphy, Finbarr, 2019, "Using extracted forward rate term structure information to forecast foreign exchange rates," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 1-14, DOI: 10.1016/j.jempfin.2019.05.002.
• Díaz-Hernández, Adán & Constantinou, Nick, 2019, "A multiple regime extension to the Heston–Nandi GARCH(1,1) model," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 162-180, DOI: 10.1016/j.jempfin.2019.05.004.
• Panopoulou, Ekaterini & Souropanis, Ioannis, 2019, "The role of technical indicators in exchange rate forecasting," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 197-221, DOI: 10.1016/j.jempfin.2019.07.004.
• Golosnoy, Vasyl & Gribisch, Bastian & Seifert, Miriam Isabel, 2019, "Exponential smoothing of realized portfolio weights," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 222-237, DOI: 10.1016/j.jempfin.2019.07.006.
• 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, volume 54, issue C, pages 97-117, DOI: 10.1016/j.jempfin.2019.08.007.
• 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, volume 77, issue C, pages 3-12, DOI: 10.1016/j.eneco.2018.05.007.
• 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, volume 77, issue C, pages 80-92, DOI: 10.1016/j.eneco.2018.07.012.
• 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, volume 78, issue C, pages 143-164, DOI: 10.1016/j.eneco.2018.10.034.
• 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, volume 78, issue C, pages 64-80, DOI: 10.1016/j.eneco.2018.11.002.
• 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, volume 79, issue C, pages 111-129, DOI: 10.1016/j.eneco.2018.03.032.
• Zhang, Yaojie & Wei, Yu & Zhang, Yi & Jin, Daxiang, 2019, "Forecasting oil price volatility: Forecast combination versus shrinkage method," Energy Economics, Elsevier, volume 80, issue C, pages 423-433, DOI: 10.1016/j.eneco.2019.01.010.
• 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, volume 81, issue C, pages 1109-1120, DOI: 10.1016/j.eneco.2019.05.018.
• Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2019, "Crude oil price shocks and hedging performance: A comparison of volatility models," Energy Economics, Elsevier, volume 81, issue C, pages 1132-1147, DOI: 10.1016/j.eneco.2019.06.002.
• 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, volume 81, issue C, pages 672-686, DOI: 10.1016/j.eneco.2019.04.023.
• Kim, Jae H. & Rahman, Md Lutfur & Shamsuddin, Abul, 2019, "Can energy prices predict stock returns? An extreme bounds analysis," Energy Economics, Elsevier, volume 81, issue C, pages 822-834, DOI: 10.1016/j.eneco.2019.05.029.
• Singh, Vipul Kumar & Kumar, Pawan & Nishant, Shreyank, 2019, "Global connectedness of MSCI energy equity indices: A system-wide network approach," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104477.
• 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, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104536.
• Zhang, Yaojie & Wei, Yu & Ma, Feng & Yi, Yongsheng, 2019, "Economic constraints and stock return predictability: A new approach," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 1-9, DOI: 10.1016/j.irfa.2019.02.007.
• Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019, "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 257-272, DOI: 10.1016/j.irfa.2018.12.002.
• 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, volume 63, issue C, pages 322-330, DOI: 10.1016/j.irfa.2019.01.002.
• Tissaoui, Kais, 2019, "Forecasting implied volatility risk indexes: International evidence using Hammerstein-ARX approach," International Review of Financial Analysis, Elsevier, volume 64, issue C, pages 232-249, DOI: 10.1016/j.irfa.2019.06.001.
• Yin, Anwen, 2019, "Out-of-sample equity premium prediction in the presence of structural breaks," International Review of Financial Analysis, Elsevier, volume 65, issue C, DOI: 10.1016/j.irfa.2019.101385.
• 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, volume 66, issue C, DOI: 10.1016/j.irfa.2019.101394.
• 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, volume 29, issue C, pages 315-322, DOI: 10.1016/j.frl.2018.08.013.
• 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, volume 29, issue C, pages 7-16, DOI: 10.1016/j.frl.2019.03.001.
• Chu, Xiaojun & Gu, Zherong & Zhou, Haigang, 2019, "Intraday momentum and reversal in Chinese stock market," Finance Research Letters, Elsevier, volume 30, issue C, pages 83-88, DOI: 10.1016/j.frl.2019.04.002.
• Kaiser, Lars, 2019, "Seasonality in cryptocurrencies," Finance Research Letters, Elsevier, volume 31, issue C, DOI: 10.1016/j.frl.2018.11.007.
• Geuder, Julian & Kinateder, Harald & Wagner, Niklas F., 2019, "Cryptocurrencies as financial bubbles: The case of Bitcoin," Finance Research Letters, Elsevier, volume 31, issue C, DOI: 10.1016/j.frl.2018.11.011.
• Lim, Kian Guan & Chen, Ying & Yap, Nelson K.L., 2019, "Intraday information from S&P 500 Index futures options," Journal of Financial Markets, Elsevier, volume 42, issue C, pages 29-55, DOI: 10.1016/j.finmar.2018.10.001.
• BenSaïda, Ahmed, 2019, "Good and bad volatility spillovers: An asymmetric connectedness," Journal of Financial Markets, Elsevier, volume 43, issue C, pages 78-95, DOI: 10.1016/j.finmar.2018.12.005.
• 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, volume 44, issue C, pages 91-118, DOI: 10.1016/j.finmar.2019.03.001.
• Lanfear, Matthew G. & Lioui, Abraham & Siebert, Mark G., 2019, "Market anomalies and disaster risk: Evidence from extreme weather events," Journal of Financial Markets, Elsevier, volume 46, issue C, DOI: 10.1016/j.finmar.2018.10.003.
• Gonçalves, Rui & Ribeiro, Vitor Miguel & Pereira, Fernando Lobo & Rocha, Ana Paula, 2019, "Deep learning in exchange markets," Information Economics and Policy, Elsevier, volume 47, issue C, pages 38-51, DOI: 10.1016/j.infoecopol.2019.05.002.
• 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, volume 61, issue C, pages 97-119, DOI: 10.1016/j.intfin.2019.02.005.
• Kinateder, Harald & Papavassiliou, Vassilios G., 2019, "Sovereign bond return prediction with realized higher moments," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 62, issue C, pages 53-73, DOI: 10.1016/j.intfin.2019.05.002.
• 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, volume 63, issue C, DOI: 10.1016/j.intfin.2019.101136.
• Buncic, Daniel & Stern, Cord, 2019, "Forecast ranked tailored equity portfolios," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 63, issue C, DOI: 10.1016/j.intfin.2019.101138.
• Knotek, Edward S. & Zaman, Saeed, 2019, "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, volume 35, issue 4, pages 1708-1724, DOI: 10.1016/j.ijforecast.2018.10.012.
• Cont, Rama & Schaanning, Eric, 2019, "Monitoring indirect contagion," Journal of Banking & Finance, Elsevier, volume 104, issue C, pages 85-102, DOI: 10.1016/j.jbankfin.2019.04.007.
• Kearney, Fearghal & Shang, Han Lin & Sheenan, Lisa, 2019, "Implied volatility surface predictability: The case of commodity markets," Journal of Banking & Finance, Elsevier, volume 108, issue C, DOI: 10.1016/j.jbankfin.2019.105657.
• Gupta, Jairaj & Chaudhry, Sajid, 2019, "Mind the tail, or risk to fail," Journal of Business Research, Elsevier, volume 99, issue C, pages 167-185, DOI: 10.1016/j.jbusres.2019.02.037.
• Lu, Zhongjin & Murray, Scott, 2019, "Bear beta," Journal of Financial Economics, Elsevier, volume 131, issue 3, pages 736-760, DOI: 10.1016/j.jfineco.2018.09.006.
• Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019, "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, volume 132, issue 1, pages 126-149, DOI: 10.1016/j.jfineco.2018.10.001.
• Pyun, Sungjune, 2019, "Variance risk in aggregate stock returns and time-varying return predictability," Journal of Financial Economics, Elsevier, volume 132, issue 1, pages 150-174, DOI: 10.1016/j.jfineco.2018.10.002.
• Jensen, Christian Skov & Lando, David & Pedersen, Lasse Heje, 2019, "Generalized recovery," Journal of Financial Economics, Elsevier, volume 133, issue 1, pages 154-174, DOI: 10.1016/j.jfineco.2018.12.003.
• Calomiris, Charles W. & Mamaysky, Harry, 2019, "How news and its context drive risk and returns around the world," Journal of Financial Economics, Elsevier, volume 133, issue 2, pages 299-336, DOI: 10.1016/j.jfineco.2018.11.009.
• Jondeau, Eric & Zhang, Qunzi & Zhu, Xiaoneng, 2019, "Average skewness matters," Journal of Financial Economics, Elsevier, volume 134, issue 1, pages 29-47, DOI: 10.1016/j.jfineco.2019.03.003.
• Ederington, Louis & Guan, Wei & Yang, Lisa (Zongfei), 2019, "The impact of the U.S. employment report on exchange rates," Journal of International Money and Finance, Elsevier, volume 90, issue C, pages 257-267, DOI: 10.1016/j.jimonfin.2018.10.003.
• 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, volume 93, issue C, pages 244-259, DOI: 10.1016/j.jimonfin.2019.01.004.
• Chen, Jian & Jiang, Fuwei & Xue, Shuyu & Yao, Jiaquan, 2019, "The world predictive power of U.S. equity market skewness risk," Journal of International Money and Finance, Elsevier, volume 96, issue C, pages 210-227, DOI: 10.1016/j.jimonfin.2019.05.003.
• Ornelas, José Renato Haas & Mauad, Roberto Baltieri, 2019, "Volatility risk premia and future commodity returns," Journal of International Money and Finance, Elsevier, volume 96, issue C, pages 341-360, DOI: 10.1016/j.jimonfin.2017.07.008.
• Cronin, David & Dunne, Peter G., 2019, "How effective are sovereign bond-backed securities as a spillover prevention device?," Journal of International Money and Finance, Elsevier, volume 96, issue C, pages 49-66, DOI: 10.1016/j.jimonfin.2019.05.001.
• Xu, Zhongxiang & Chevapatrakul, Thanaset & Li, Xiafei, 2019, "Return asymmetry and the cross section of stock returns," Journal of International Money and Finance, Elsevier, volume 97, issue C, pages 93-110, DOI: 10.1016/j.jimonfin.2019.06.005.
• Khan, Mostafa Saidur Rahim & Kato, Hideaki Kiyoshi & Bremer, Marc, 2019, "Short sales constraints and stock returns: How do the regulations fare?," Journal of the Japanese and International Economies, Elsevier, volume 54, issue C, DOI: 10.1016/j.jjie.2019.101049.
• Spelta, A. & Pecora, N. & Rovira Kaltwasser, P., 2019, "Identifying Systemically Important Banks: A temporal approach for macroprudential policies," Journal of Policy Modeling, Elsevier, volume 41, issue 1, pages 197-218, DOI: 10.1016/j.jpolmod.2018.06.004.
• Nassios, Jason & Giesecke, James A. & Dixon, Peter B. & Rimmer, Maureen T., 2019, "Mandated superannuation contributions and the structure of the financial sector in Australia," Journal of Policy Modeling, Elsevier, volume 41, issue 5, pages 859-881, DOI: 10.1016/j.jpolmod.2019.05.004.
• Pincheira Brown, Pablo & Hardy, Nicolás, 2019, "Forecasting base metal prices with the Chilean exchange rate," Resources Policy, Elsevier, volume 62, issue C, pages 256-281, DOI: 10.1016/j.resourpol.2019.02.019.
• Salisu, Afees A. & Isah, Kazeem O. & Raheem, Ibrahim D., 2019, "Testing the predictability of commodity prices in stock returns of G7 countries: Evidence from a new approach," Resources Policy, Elsevier, volume 64, issue C, DOI: 10.1016/j.resourpol.2019.101520.
• Alqahtani, Abdullah & Klein, Tony & Khalid, Ali, 2019, "The impact of oil price uncertainty on GCC stock markets," Resources Policy, Elsevier, volume 64, issue C, DOI: 10.1016/j.resourpol.2019.101526.
• Ma, Feng & Wahab, M.I.M. & Zhang, Yaojie, 2019, "Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets," Pacific-Basin Finance Journal, Elsevier, volume 54, issue C, pages 132-146, DOI: 10.1016/j.pacfin.2019.02.006.
• Bahrami, Afsaneh & Shamsuddin, Abul & Uylangco, Katherine, 2019, "Are advanced emerging market stock returns predictable? A regime-switching forecast combination approach," Pacific-Basin Finance Journal, Elsevier, volume 55, issue C, pages 142-160, DOI: 10.1016/j.pacfin.2019.02.003.
• Lai, Van Son & Ye, Xiaoxia & Zhao, Lu, 2019, "Are market views on banking industry useful for forecasting economic growth?," Pacific-Basin Finance Journal, Elsevier, volume 57, issue C, DOI: 10.1016/j.pacfin.2018.10.011.
• Hoang, Khoa & Cannavan, Damien & Gaunt, Clive & Huang, Ronghong, 2019, "Is that factor just lucky? Australian evidence," Pacific-Basin Finance Journal, Elsevier, volume 57, issue C, DOI: 10.1016/j.pacfin.2019.101191.
• Fei, Tianlun & Liu, Xiaoquan & Wen, Conghua, 2019, "Cross-sectional return dispersion and volatility prediction," Pacific-Basin Finance Journal, Elsevier, volume 58, issue C, DOI: 10.1016/j.pacfin.2019.101218.
• Shafique, Attayah & Ayub, Usman & Zakaria, Muhammad, 2019, "Don’t let the Greed catch you! Pleonexia rule applied to Pakistan stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 524, issue C, pages 157-168, DOI: 10.1016/j.physa.2019.04.048.
• Liu, Jing & Ma, Feng & Zhang, Yaojie, 2019, "Forecasting the Chinese stock volatility across global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 525, issue C, pages 466-477, DOI: 10.1016/j.physa.2019.03.097.
• Efremidze, Levan & Stanley, Darrol J. & Park, Abraham & Wasilewski, Nikolai, 2019, "Empirical implementation of entropy risk factor model: A test on Chilean peso," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 532, issue C, DOI: 10.1016/j.physa.2019.121836.
• Xiao, Binqing & Yang, Ye & Peng, Xuerong & Fang, Libing, 2019, "Measuring the connectedness of European electricity markets using the network topology of variance decompositions," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 535, issue C, DOI: 10.1016/j.physa.2019.122279.
• Isah, Kazeem O. & Raheem, Ibrahim D., 2019, "The hidden predictive power of cryptocurrencies and QE: Evidence from US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 536, issue C, DOI: 10.1016/j.physa.2019.04.268.
• Stoupos, Nikolaos & Kiohos, Apostolos, 2019, "Scandinavia: Towards the European Monetary Union?," The Quarterly Review of Economics and Finance, Elsevier, volume 74, issue C, pages 278-291, DOI: 10.1016/j.qref.2019.01.006.
• Balcilar, Mehmet & Gupta, Rangan & Kim, Won Joong & Kyei, Clement, 2019, "The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea," International Review of Economics & Finance, Elsevier, volume 59, issue C, pages 150-163, DOI: 10.1016/j.iref.2018.08.016.
• Chevapatrakul, Thanaset & Xu, Zhongxiang & Yao, Kai, 2019, "The impact of tail risk on stock market returns: The role of market sentiment," International Review of Economics & Finance, Elsevier, volume 59, issue C, pages 289-301, DOI: 10.1016/j.iref.2018.09.005.
• Gebka, Bartosz & Wohar, Mark E., 2019, "Stock return distribution and predictability: Evidence from over a century of daily data on the DJIA index," International Review of Economics & Finance, Elsevier, volume 60, issue C, pages 1-25, DOI: 10.1016/j.iref.2018.12.002.
• Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019, "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, volume 60, issue C, pages 95-113, DOI: 10.1016/j.iref.2018.12.016.
• Yen, Yu-Min, 2019, "Forward-looking information on growth and uncertainty implied by derivative securities: Evidence from an emerging market," International Review of Economics & Finance, Elsevier, volume 62, issue C, pages 240-266, DOI: 10.1016/j.iref.2019.03.008.
• Miwa, Kotaro, 2019, "Trading hours extension and intraday price behavior," International Review of Economics & Finance, Elsevier, volume 64, issue C, pages 572-585, DOI: 10.1016/j.iref.2019.07.007.
• Kusen, Alex & Rudolf, Markus, 2019, "Feedback trading: Strategies during day and night with global interconnectedness," Research in International Business and Finance, Elsevier, volume 48, issue C, pages 438-463, DOI: 10.1016/j.ribaf.2019.01.013.
• Pönkä, Harri & Zheng, Yi, 2019, "The role of oil prices on the Russian business cycle," Research in International Business and Finance, Elsevier, volume 50, issue C, pages 70-78, DOI: 10.1016/j.ribaf.2019.04.011.
• Chaker, Selma, 2019, "The signal and the noise volatilities," Research in International Business and Finance, Elsevier, volume 50, issue C, pages 79-105, DOI: 10.1016/j.ribaf.2019.04.008.
• Qadan, Mahmoud & Zoua’bi, Maher, 2019, "Financial attention and the demand for information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, volume 82, issue C, DOI: 10.1016/j.socec.2019.101450.
• Landini, S. & Uberti, M. & Casellina, S., 2019, "Credit risk migration rates modelling as open systems II: A simulation model and IFRS9-baseline principles," Structural Change and Economic Dynamics, Elsevier, volume 50, issue C, pages 175-189, DOI: 10.1016/j.strueco.2019.06.013.
• Wei Han & Yushi Jiang, 2019, "Economic validity analysis of housing reverse mortgages in China," China Finance Review International, Emerald Group Publishing Limited, volume 9, issue 4, pages 498-520, August, DOI: 10.1108/CFRI-07-2018-0111.
• Nurwahida Yaakub & Mohamed Sherif, 2019, "Performance of initial public offerings (IPOs): the case of Shariah-compliant companies," Islamic Economic Studies, Emerald Group Publishing Limited, volume 27, issue 1, pages 65-76, August, DOI: 10.1108/IES-06-2019-0012.
• Nader Trabelsi, 2019, "Dynamic and frequency connectedness across Islamic stock indexes, bonds, crude oil and gold," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, volume 12, issue 3, pages 306-321, June, DOI: 10.1108/IMEFM-02-2018-0043.
• Salman Ahmed Shaikh & Mohd Adib Ismail & Abdul Ghafar Ismail & Shahida Shahimi & Muhammad Hakimi Mohd. Shafiai, 2019, "Cross section of stock returns onShari’ah-compliant stocks: evidence from Pakistan," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, volume 12, issue 2, pages 282-302, June, DOI: 10.1108/IMEFM-04-2017-0100.
• Guglielmo Maria Caporale & Alex Plastun, 2019, "Price overreactions in the cryptocurrency market," Journal of Economic Studies, Emerald Group Publishing Limited, volume 46, issue 5, pages 1137-1155, August, DOI: 10.1108/JES-09-2018-0310.
• Ya Qian & Wolfgang Härdle & Cathy Yi-Hsuan Chen, 2019, "Modelling industry interdependency dynamics in a network context," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 37, issue 1, pages 50-70, December, DOI: 10.1108/SEF-07-2019-0272.
• Cicilia A. Harun & Raquela Renanda Nattan, 2019, "Non-core deposit of Indonesian banking," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 38, issue 2, pages 207-226, August, DOI: 10.1108/SEF-10-2018-0311.
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• Fabrizio Cipollini & Giampiero M. Gallo & Alessandro Palandri, 2019, "Realized variance modeling: decoupling forecasting from estimation," Econometrics Working Papers Archive, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", number 2019_05, Jul.
• Marcin Dec, 2019, "From point through density valuation to individual risk assessment in the discounted cash flows method," GRAPE Working Papers, GRAPE Group for Research in Applied Economics, number 35.
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• Araceli Matías González & María Teresa Verónica Martínez-Palacios & Ambrosio Ortiz-Ramírez, 2019, "Consumo e inversión óptimos y valuación de opciones asiáticas en un entorno estocástico con fundamentos microeconómicos y simulación Monte Carlo," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 14, issue 3, pages 397-414, Julio - S.
• Oscar V. De la Torre-Torres & Dora Aguilasocho-Montoya & José Álvarez-García, 2019, "Active portfolio management in the Andean countries'' stock markets with Markov-Switching GARCH models," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 14, issue PNEA, pages 601-616, Agosto 20.
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• Raquel M. Gaspar & Paulo M. Silva, 2019, "Investors’ Perspective on Portfolio InsuranceExpected Utility vs Prospect Theories," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2019/92, Sep.
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• Simona David, 2019, "Assessing the Opportunities and Behaviors of Banking Clients in Romania: An Analysis of the Use of Online Banking Applications," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, volume 5, issue 2, pages 63-73, June.
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• Wolfram Schlenker & Charles A Taylor, 2019, "Market Expectations About Climate Change," NBER Working Papers, National Bureau of Economic Research, Inc, number 25554, Feb.
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