Research classified by Journal of Economic Literature (JEL) codes

2017

• Christophe Boucher & Gilles de Truchis & Elena Dumitrescu & Sessi Tokpavi, 2017, "Testing for Extreme Volatility Transmission with Realized Volatility Measures," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2017-20.
• Natoli, Filippo & Sigalotti, Laura, 2017, "A new indicator of inflation expectations anchoring," Working Paper Series, European Central Bank, number 1996, Jan.
• Natoli, Filippo & Sigalotti, Laura, 2017, "Tail co-movement in inflation expectations as an indicator of anchoring," Working Paper Series, European Central Bank, number 1997, Jan.
• Ansari Saleh Ahmar, 2017, "Sutte Indicator: A Technical Indicator in Stock Market," International Journal of Economics and Financial Issues, Econjournals, volume 7, issue 2, pages 223-226.
• Akram Budagaga, 2017, "Dividend Payment and its Impact on the Value of Firms Listed on Istanbul Stock Exchange: A Residual Income Approach," International Journal of Economics and Financial Issues, Econjournals, volume 7, issue 2, pages 370-376.
• Electra Pitoska & Androniki Katarachia & Grigoris Giannarakis & Charalampos Tsilikas, 2017, "An Analysis of Determinants Affecting the Returns of Dow Jones Sustainability Index United States," International Journal of Economics and Financial Issues, Econjournals, volume 7, issue 3, pages 113-118.
• Jaber Bahrami & Mosayeb Pahlavani & Reza Roshan & Saeed Rasekhi, 2017, "Adjusting Consumption Based Capital Asset Pricing Model within the Framework of an Open Economy: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, volume 7, issue 3, pages 309-317.
• Hanabusa, Kunihiro, 2017, "Japan’s quantitative monetary easing policy: Effect on the level and volatility of yield spreads," Journal of Asian Economics, Elsevier, volume 53, issue C, pages 56-66, DOI: 10.1016/j.asieco.2017.10.004.
• Lee, Kyungsub & Seo, Byoung Ki, 2017, "Modeling microstructure price dynamics with symmetric Hawkes and diffusion model using ultra-high-frequency stock data," Journal of Economic Dynamics and Control, Elsevier, volume 79, issue C, pages 154-183, DOI: 10.1016/j.jedc.2017.04.004.
• Bee, Marco & Riccaboni, Massimo & Trapin, Luca, 2017, "An extreme value analysis of the last century crises across industries in the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, volume 81, issue C, pages 65-78, DOI: 10.1016/j.jedc.2017.01.012.
• Nonejad, Nima, 2017, "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, volume 61, issue C, pages 388-408, DOI: 10.1016/j.econmod.2016.11.003.
• el Alaoui, AbdelKader O. & Ismath Bacha, Obiyathulla & Masih, Mansur & Asutay, Mehmet, 2017, "Leverage versus volatility: Evidence from the capital structure of European firms," Economic Modelling, Elsevier, volume 62, issue C, pages 145-160, DOI: 10.1016/j.econmod.2016.11.023.
• Chen, Junping & Xiong, Xiong & Zhu, Jie & Zhu, Xiaoneng, 2017, "Asset prices and economic fluctuations: The implications of stochastic volatility," Economic Modelling, Elsevier, volume 64, issue C, pages 128-140, DOI: 10.1016/j.econmod.2017.03.017.
• Gatfaoui, Hayette, 2017, "Equity market information and credit risk signaling: A quantile cointegrating regression approach," Economic Modelling, Elsevier, volume 64, issue C, pages 48-59, DOI: 10.1016/j.econmod.2017.03.012.
• Uddin, Md Akther & Ali, Md Hakim & Masih, Mansur, 2017, "Political stability and growth: An application of dynamic GMM and quantile regression," Economic Modelling, Elsevier, volume 64, issue C, pages 610-625, DOI: 10.1016/j.econmod.2017.04.028.
• Dewandaru, Ginanjar & Masih, Rumi & Masih, Mansur, 2017, "Regional spillovers across transitioning emerging and frontier equity markets: A multi-time scale wavelet analysis," Economic Modelling, Elsevier, volume 65, issue C, pages 30-40, DOI: 10.1016/j.econmod.2017.04.026.
• Heryán, Tomáš & Tzeremes, Panayiotis G., 2017, "The bank lending channel of monetary policy in EU countries during the global financial crisis," Economic Modelling, Elsevier, volume 67, issue C, pages 10-22, DOI: 10.1016/j.econmod.2016.07.017.
• Araichi, Sawssen & Peretti, Christian de & Belkacem, Lotfi, 2017, "Reserve modelling and the aggregation of risks using time varying copula models," Economic Modelling, Elsevier, volume 67, issue C, pages 149-158, DOI: 10.1016/j.econmod.2016.11.016.
• Roy, Rudra Prosad & Sinha Roy, Saikat, 2017, "Financial contagion and volatility spillover: An exploration into Indian commodity derivative market," Economic Modelling, Elsevier, volume 67, issue C, pages 368-380, DOI: 10.1016/j.econmod.2017.02.019.
• Chen, Cathy W.S. & Wang, Zona & Sriboonchitta, Songsak & Lee, Sangyeol, 2017, "Pair trading based on quantile forecasting of smooth transition GARCH models," The North American Journal of Economics and Finance, Elsevier, volume 39, issue C, pages 38-55, DOI: 10.1016/j.najef.2016.10.015.
• Ng, Kok Haur & Peiris, Shelton & Chan, Jennifer So-kuen & Allen, David & Ng, Kooi Huat, 2017, "Efficient modelling and forecasting with range based volatility models and its application," The North American Journal of Economics and Finance, Elsevier, volume 42, issue C, pages 448-460, DOI: 10.1016/j.najef.2017.08.009.
• Tielens, Joris & Van Hove, Jan, 2017, "The Amiti–Weinstein estimator: An equivalence result," Economics Letters, Elsevier, volume 151, issue C, pages 19-22, DOI: 10.1016/j.econlet.2016.11.039.
• Balli, Faruk & Uddin, Gazi Salah & Mudassar, Hasan & Yoon, Seong-Min, 2017, "Cross-country determinants of economic policy uncertainty spillovers," Economics Letters, Elsevier, volume 156, issue C, pages 179-183, DOI: 10.1016/j.econlet.2017.05.016.
• Chang, Chia-Lin & McAleer, Michael, 2017, "The correct regularity condition and interpretation of asymmetry in EGARCH," Economics Letters, Elsevier, volume 161, issue C, pages 52-55, DOI: 10.1016/j.econlet.2017.09.017.
• Pedersen, Rasmus Søndergaard, 2017, "Inference and testing on the boundary in extended constant conditional correlation GARCH models," Journal of Econometrics, Elsevier, volume 196, issue 1, pages 23-36, DOI: 10.1016/j.jeconom.2016.09.004.
• Kim, Jihyun & Park, Joon Y., 2017, "Asymptotics for recurrent diffusions with application to high frequency regression," Journal of Econometrics, Elsevier, volume 196, issue 1, pages 37-54, DOI: 10.1016/j.jeconom.2015.12.019.
• Francq, C. & Jiménez-Gamero, M.D. & Meintanis, S.G., 2017, "Tests for conditional ellipticity in multivariate GARCH models," Journal of Econometrics, Elsevier, volume 196, issue 2, pages 305-319, DOI: 10.1016/j.jeconom.2016.10.001.
• Boudt, Kris & Laurent, Sébastien & Lunde, Asger & Quaedvlieg, Rogier & Sauri, Orimar, 2017, "Positive semidefinite integrated covariance estimation, factorizations and asynchronicity," Journal of Econometrics, Elsevier, volume 196, issue 2, pages 347-367, DOI: 10.1016/j.jeconom.2016.09.016.
• Hounyo, Ulrich, 2017, "Bootstrapping integrated covariance matrix estimators in noisy jump–diffusion models with non-synchronous trading," Journal of Econometrics, Elsevier, volume 197, issue 1, pages 130-152, DOI: 10.1016/j.jeconom.2016.11.002.
• Potiron, Yoann & Mykland, Per A., 2017, "Estimation of integrated quadratic covariation with endogenous sampling times," Journal of Econometrics, Elsevier, volume 197, issue 1, pages 20-41, DOI: 10.1016/j.jeconom.2016.10.004.
• Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017, "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, volume 197, issue 2, pages 218-244, DOI: 10.1016/j.jeconom.2016.07.009.
• Caporin, Massimiliano & Rossi, Eduardo & Santucci de Magistris, Paolo, 2017, "Chasing volatility," Journal of Econometrics, Elsevier, volume 198, issue 1, pages 122-145, DOI: 10.1016/j.jeconom.2017.01.005.
• Chen, Richard Y. & Mykland, Per A., 2017, "Model-free approaches to discern non-stationary microstructure noise and time-varying liquidity in high-frequency data," Journal of Econometrics, Elsevier, volume 200, issue 1, pages 79-103, DOI: 10.1016/j.jeconom.2017.05.015.
• Chaker, Selma, 2017, "On high frequency estimation of the frictionless price: The use of observed liquidity variables," Journal of Econometrics, Elsevier, volume 201, issue 1, pages 127-143, DOI: 10.1016/j.jeconom.2017.06.018.
• Shephard, Neil & Xiu, Dacheng, 2017, "Econometric analysis of multivariate realised QML: Estimation of the covariation of equity prices under asynchronous trading," Journal of Econometrics, Elsevier, volume 201, issue 1, pages 19-42, DOI: 10.1016/j.jeconom.2017.04.003.
• Barigozzi, Matteo & Hallin, Marc, 2017, "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, volume 201, issue 2, pages 307-321, DOI: 10.1016/j.jeconom.2017.08.010.
• Engle, Robert & Roussellet, Guillaume & Siriwardane, Emil, 2017, "Scenario generation for long run interest rate risk assessment," Journal of Econometrics, Elsevier, volume 201, issue 2, pages 333-347, DOI: 10.1016/j.jeconom.2017.08.012.
• Aït-Sahalia, Yacine & Xiu, Dacheng, 2017, "Using principal component analysis to estimate a high dimensional factor model with high-frequency data," Journal of Econometrics, Elsevier, volume 201, issue 2, pages 384-399, DOI: 10.1016/j.jeconom.2017.08.015.
• Chen, Ye & Phillips, Peter C.B. & Yu, Jun, 2017, "Inference in continuous systems with mildly explosive regressors," Journal of Econometrics, Elsevier, volume 201, issue 2, pages 400-416, DOI: 10.1016/j.jeconom.2017.08.016.
• Creel, Michael, 2017, "Neural nets for indirect inference," Econometrics and Statistics, Elsevier, volume 2, issue C, pages 36-49, DOI: 10.1016/j.ecosta.2016.11.008.
• Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla Ismath & Masih, A. Mansur M., 2017, "The role of Islamic asset classes in the diversified portfolios: Mean variance spanning test," Emerging Markets Review, Elsevier, volume 30, issue C, pages 66-95, DOI: 10.1016/j.ememar.2016.09.002.
• Majdoub, Jihed & Ben Sassi, Salim, 2017, "Volatility spillover and hedging effectiveness among China and emerging Asian Islamic equity indexes," Emerging Markets Review, Elsevier, volume 31, issue C, pages 16-31, DOI: 10.1016/j.ememar.2016.12.003.
• Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017, "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, volume 31, issue C, pages 96-115, DOI: 10.1016/j.ememar.2017.03.002.
• Ülkü, Numan & Kuruppuarachchi, Duminda & Kuzmicheva, Olga, 2017, "Stock market's response to real output shocks in Eastern European frontier markets: A VARwAL model," Emerging Markets Review, Elsevier, volume 33, issue C, pages 140-154, DOI: 10.1016/j.ememar.2017.09.004.
• Escobari, Diego & Garcia, Sergio & Mellado, Cristhian, 2017, "Identifying bubbles in Latin American equity markets: Phillips-Perron-based tests and linkages," Emerging Markets Review, Elsevier, volume 33, issue C, pages 90-101, DOI: 10.1016/j.ememar.2017.09.001.
• Alexeev, Vitali & Dungey, Mardi & Yao, Wenying, 2017, "Time-varying continuous and jump betas: The role of firm characteristics and periods of stress," Journal of Empirical Finance, Elsevier, volume 40, issue C, pages 1-19, DOI: 10.1016/j.jempfin.2016.11.002.
• Zu, Yang & Boswijk, H. Peter, 2017, "Consistent nonparametric specification tests for stochastic volatility models based on the return distribution," Journal of Empirical Finance, Elsevier, volume 41, issue C, pages 53-75, DOI: 10.1016/j.jempfin.2016.12.005.
• Pan, Zhiyuan & Wang, Yudong & Wu, Chongfeng & Yin, Libo, 2017, "Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model," Journal of Empirical Finance, Elsevier, volume 43, issue C, pages 130-142, DOI: 10.1016/j.jempfin.2017.06.005.
• Risse, Marian & Ohl, Ludwig, 2017, "Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market," Journal of Empirical Finance, Elsevier, volume 44, issue C, pages 158-176, DOI: 10.1016/j.jempfin.2017.09.005.
• Reboredo, Juan C. & Rivera-Castro, Miguel A. & Ugolini, Andrea, 2017, "Wavelet-based test of co-movement and causality between oil and renewable energy stock prices," Energy Economics, Elsevier, volume 61, issue C, pages 241-252, DOI: 10.1016/j.eneco.2016.10.015.
• Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017, "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, volume 62, issue C, pages 19-32, DOI: 10.1016/j.eneco.2016.12.011.
• Herrera, Rodrigo & Rodriguez, Alejandro & Pino, Gabriel, 2017, "Modeling and forecasting extreme commodity prices: A Markov-Switching based extreme value model," Energy Economics, Elsevier, volume 63, issue C, pages 129-143, DOI: 10.1016/j.eneco.2017.01.012.
• Khalifa, Ahmed & Caporin, Massimiliano & Hammoudeh, Shawkat, 2017, "The relationship between oil prices and rig counts: The importance of lags," Energy Economics, Elsevier, volume 63, issue C, pages 213-226, DOI: 10.1016/j.eneco.2017.01.015.
• Liu, Pan & Vedenov, Dmitry & Power, Gabriel J., 2017, "Is hedging the crack spread no longer all it's cracked up to be?," Energy Economics, Elsevier, volume 63, issue C, pages 31-40, DOI: 10.1016/j.eneco.2017.01.020.
• Křehlík, Tomáš & Baruník, Jozef, 2017, "Cyclical properties of supply-side and demand-side shocks in oil-based commodity markets," Energy Economics, Elsevier, volume 65, issue C, pages 208-218, DOI: 10.1016/j.eneco.2017.05.003.
• Mensi, Walid & Tiwari, Aviral & Bouri, Elie & Roubaud, David & Al-Yahyaee, Khamis H., 2017, "The dependence structure across oil, wheat, and corn: A wavelet-based copula approach using implied volatility indexes," Energy Economics, Elsevier, volume 66, issue C, pages 122-139, DOI: 10.1016/j.eneco.2017.06.007.
• Espinasa, Ramon & ter Horst, Enrique & Reyes, Sergio Guerra & Manzano, Osmel & Molina, German & Rigobon, Roberto, 2017, "A micro-based model for world oil market," Energy Economics, Elsevier, volume 66, issue C, pages 431-449, DOI: 10.1016/j.eneco.2017.06.019.
• Taylor, Nick, 2017, "Timing strategy performance in the crude oil futures market," Energy Economics, Elsevier, volume 66, issue C, pages 480-492, DOI: 10.1016/j.eneco.2017.07.019.
• Sukcharoen, Kunlapath & Leatham, David J., 2017, "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, volume 66, issue C, pages 493-507, DOI: 10.1016/j.eneco.2017.07.012.
• Han, Liyan & Lv, Qiuna & Yin, Libo, 2017, "Can investor attention predict oil prices?," Energy Economics, Elsevier, volume 66, issue C, pages 547-558, DOI: 10.1016/j.eneco.2017.04.018.
• Ma, Feng & Wahab, M.I.M. & Huang, Dengshi & Xu, Weiju, 2017, "Forecasting the realized volatility of the oil futures market: A regime switching approach," Energy Economics, Elsevier, volume 67, issue C, pages 136-145, DOI: 10.1016/j.eneco.2017.08.004.
• Mensi, Walid & Hammoudeh, Shawkat & Shahzad, Syed Jawad Hussain & Al-Yahyaee, Khamis Hamed & Shahbaz, Muhammad, 2017, "Oil and foreign exchange market tail dependence and risk spillovers for MENA, emerging and developed countries: VMD decomposition based copulas," Energy Economics, Elsevier, volume 67, issue C, pages 476-495, DOI: 10.1016/j.eneco.2017.08.036.
• Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2017, "The relationship between regional natural gas markets and crude oil markets from a multi-scale nonlinear Granger causality perspective," Energy Economics, Elsevier, volume 67, issue C, pages 98-110, DOI: 10.1016/j.eneco.2017.08.006.
• Zhang, Guofu & Du, Ziping, 2017, "Co-movements among the stock prices of new energy, high-technology and fossil fuel companies in China," Energy, Elsevier, volume 135, issue C, pages 249-256, DOI: 10.1016/j.energy.2017.06.103.
• Tunaru, Diana, 2017, "Gaussian estimation and forecasting of the U.K. yield curve with multi-factor continuous-time models," International Review of Financial Analysis, Elsevier, volume 52, issue C, pages 119-129, DOI: 10.1016/j.irfa.2017.05.003.
• Shahzad, Syed Jawad Hussain & Ferrer, Román & Ballester, Laura & Umar, Zaghum, 2017, "Risk transmission between Islamic and conventional stock markets: A return and volatility spillover analysis," International Review of Financial Analysis, Elsevier, volume 52, issue C, pages 9-26, DOI: 10.1016/j.irfa.2017.04.005.
• Corbet, Shaen & Larkin, Charles, 2017, "Has the uniformity of banking regulation within the European Union restricted rather than encouraged sectoral development?," International Review of Financial Analysis, Elsevier, volume 53, issue C, pages 48-65, DOI: 10.1016/j.irfa.2017.08.007.
• Śmiech, Sławomir & Papież, Monika, 2017, "In search of hedges and safe havens: Revisiting the relations between gold and oil in the rolling regression framework," Finance Research Letters, Elsevier, volume 20, issue C, pages 238-244, DOI: 10.1016/j.frl.2016.10.006.
• Chen, Cathy W.S. & Lin, Tsai-Yu, 2017, "Nonparametric tolerance limits for pair trading," Finance Research Letters, Elsevier, volume 21, issue C, pages 1-9, DOI: 10.1016/j.frl.2016.11.002.
• Babalos, Vassilios & Balcilar, Mehmet, 2017, "Does institutional trading drive commodities prices away from their fundamentals: Evidence from a nonparametric causality-in-quantiles test," Finance Research Letters, Elsevier, volume 21, issue C, pages 126-131, DOI: 10.1016/j.frl.2016.11.017.
• Klein, Tony & Walther, Thomas, 2017, "Fast fractional differencing in modeling long memory of conditional variance for high-frequency data," Finance Research Letters, Elsevier, volume 22, issue C, pages 274-279, DOI: 10.1016/j.frl.2016.12.020.
• Mendes, Beatriz Vaz de Melo & Lavrado, Rafael Coelho, 2017, "Implementing and testing the Maximum Drawdown at Risk," Finance Research Letters, Elsevier, volume 22, issue C, pages 95-100, DOI: 10.1016/j.frl.2017.06.001.
• Lönnbark, Carl, 2017, "Long vs. short term asymmetry in volatility and the term structure of risk," Finance Research Letters, Elsevier, volume 23, issue C, pages 202-209, DOI: 10.1016/j.frl.2017.06.011.
• Klein, Tony, 2017, "Dynamic correlation of precious metals and flight-to-quality in developed markets," Finance Research Letters, Elsevier, volume 23, issue C, pages 283-290, DOI: 10.1016/j.frl.2017.05.002.
• Bégin, Jean-François & Boudreault, Mathieu & Gauthier, Geneviève, 2017, "Firm-specific credit risk estimation in the presence of regimes and noisy prices," Finance Research Letters, Elsevier, volume 23, issue C, pages 306-313, DOI: 10.1016/j.frl.2017.08.005.
• Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017, "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, volume 28, issue C, pages 91-114, DOI: 10.1016/j.jfs.2016.12.004.
• Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk & Tabak, Benjamin M., 2017, "Not all emerging markets are the same: A classification approach with correlation based networks," Journal of Financial Stability, Elsevier, volume 33, issue C, pages 163-186, DOI: 10.1016/j.jfs.2016.06.009.
• Abedifar, Pejman & Giudici, Paolo & Hashem, Shatha Qamhieh, 2017, "Heterogeneous market structure and systemic risk: Evidence from dual banking systems," Journal of Financial Stability, Elsevier, volume 33, issue C, pages 96-119, DOI: 10.1016/j.jfs.2017.11.002.
• Georgoutsos, Dimitris & Moratis, George, 2017, "Bank-sovereign contagion in the Eurozone: A panel VAR Approach," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 48, issue C, pages 146-159, DOI: 10.1016/j.intfin.2017.01.004.
• Orlowski, Lucjan T., 2017, "Volatility of commodity futures prices and market-implied inflation expectations," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 51, issue C, pages 133-141, DOI: 10.1016/j.intfin.2017.10.002.
• Taylor, Nick, 2017, "Realised variance forecasting under Box-Cox transformations," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 770-785, DOI: 10.1016/j.ijforecast.2017.04.001.
• Mensi, Walid & Hammoudeh, Shawkat & Shahzad, Syed Jawad Hussain & Shahbaz, Muhammad, 2017, "Modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition-based copula method," Journal of Banking & Finance, Elsevier, volume 75, issue C, pages 258-279, DOI: 10.1016/j.jbankfin.2016.11.017.
• Liu, Xiaochun, 2017, "Unfolded risk-return trade-offs and links to Macroeconomic Dynamics," Journal of Banking & Finance, Elsevier, volume 82, issue C, pages 1-19, DOI: 10.1016/j.jbankfin.2017.04.015.
• Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2017, "Risk evaluations with robust approximate factor models," Journal of Banking & Finance, Elsevier, volume 82, issue C, pages 244-264, DOI: 10.1016/j.jbankfin.2016.05.008.
• Caporale, Guglielmo Maria & Cerrato, Mario & Zhang, Xuan, 2017, "Analysing the determinants of insolvency risk for general insurance firms in the UK," Journal of Banking & Finance, Elsevier, volume 84, issue C, pages 107-122, DOI: 10.1016/j.jbankfin.2017.07.011.
• Nikitopoulos, Christina Sklibosios & Squires, Matthew & Thorp, Susan & Yeung, Danny, 2017, "Determinants of the crude oil futures curve: Inventory, consumption and volatility," Journal of Banking & Finance, Elsevier, volume 84, issue C, pages 53-67, DOI: 10.1016/j.jbankfin.2017.07.006.
• Goliński, Adam & Spencer, Peter, 2017, "The advantages of using excess returns to model the term structure," Journal of Financial Economics, Elsevier, volume 125, issue 1, pages 163-181, DOI: 10.1016/j.jfineco.2017.05.001.
• Eraker, Bjørn & Wu, Yue, 2017, "Explaining the negative returns to volatility claims: An equilibrium approach," Journal of Financial Economics, Elsevier, volume 125, issue 1, pages 72-98, DOI: 10.1016/j.jfineco.2017.04.007.
• Dittmar, Robert F. & Lundblad, Christian T., 2017, "Firm characteristics, consumption risk, and firm-level risk exposures," Journal of Financial Economics, Elsevier, volume 125, issue 2, pages 326-343, DOI: 10.1016/j.jfineco.2017.05.002.
• Caporin, Massimiliano & Kolokolov, Aleksey & Renò, Roberto, 2017, "Systemic co-jumps," Journal of Financial Economics, Elsevier, volume 126, issue 3, pages 563-591, DOI: 10.1016/j.jfineco.2017.06.016.
• Algieri, Bernardina & Kalkuhl, Matthias & Koch, Nicolas, 2017, "A tale of two tails: Explaining extreme events in financialized agricultural markets," Food Policy, Elsevier, volume 69, issue C, pages 256-269, DOI: 10.1016/j.foodpol.2017.05.004.
• Virk, Nader & Javed, Farrukh, 2017, "European equity market integration and joint relationship of conditional volatility and correlations," Journal of International Money and Finance, Elsevier, volume 71, issue C, pages 53-77, DOI: 10.1016/j.jimonfin.2016.10.007.
• Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2017, "Asymmetric volatility connectedness on the forex market," Journal of International Money and Finance, Elsevier, volume 77, issue C, pages 39-56, DOI: 10.1016/j.jimonfin.2017.06.003.
• Harris, Richard D.F. & Shen, Jian, 2017, "The intrinsic value of gold: An exchange rate-free price index," Journal of International Money and Finance, Elsevier, volume 79, issue C, pages 203-217, DOI: 10.1016/j.jimonfin.2017.09.007.
• Francq, Christian & Sucarrat, Genaro, 2017, "An equation-by-equation estimator of a multivariate log-GARCH-X model of financial returns," Journal of Multivariate Analysis, Elsevier, volume 153, issue C, pages 16-32, DOI: 10.1016/j.jmva.2016.09.010.
• Trabelsi, Nader, 2017, "Asymmetric tail dependence between oil price shocks and sectors of Saudi Arabia System," The Journal of Economic Asymmetries, Elsevier, volume 16, issue C, pages 26-41, DOI: 10.1016/j.jeca.2017.05.001.
• Shahzad, Syed Jawad Hussain & Raza, Naveed & Balcilar, Mehmet & Ali, Sajid & Shahbaz, Muhammad, 2017, "Can economic policy uncertainty and investors sentiment predict commodities returns and volatility?," Resources Policy, Elsevier, volume 53, issue C, pages 208-218, DOI: 10.1016/j.resourpol.2017.06.010.
• Reboredo, Juan C. & Ugolini, Andrea, 2017, "Quantile causality between gold commodity and gold stock prices," Resources Policy, Elsevier, volume 53, issue C, pages 56-63, DOI: 10.1016/j.resourpol.2017.05.013.
• Ibrahim, Mansor H. & Rizvi, Syed Aun R., 2017, "Do we need bigger Islamic banks? An assessment of bank stability," Journal of Multinational Financial Management, Elsevier, volume 40, issue C, pages 77-91, DOI: 10.1016/j.mulfin.2017.05.002.
• Boako, Gideon & Alagidede, Paul, 2017, "Currency price risk and stock market returns in Africa: Dependence and downside spillover effects with stochastic copulas," Journal of Multinational Financial Management, Elsevier, volume 41, issue C, pages 92-114, DOI: 10.1016/j.mulfin.2017.06.001.
• Mokni, Khaled & Mansouri, Faysal, 2017, "Conditional dependence between international stock markets: A long memory GARCH-copula model approach," Journal of Multinational Financial Management, Elsevier, volume 42, issue , pages 116-131, DOI: 10.1016/j.mulfin.2017.10.006.
• Devaney, Steven & Xiao, Qin, 2017, "Cyclical co-movements of private real estate, public real estate and equity markets: A cross-continental spectrum," Journal of Multinational Financial Management, Elsevier, volume 42, issue , pages 132-151, DOI: 10.1016/j.mulfin.2017.10.002.
• Naifar, Nader & Mroua, Mourad & Bahloul, Slah, 2017, "Do regional and global uncertainty factors affect differently the conventional bonds and sukuk? New evidence," Pacific-Basin Finance Journal, Elsevier, volume 41, issue C, pages 65-74, DOI: 10.1016/j.pacfin.2016.12.004.
• Hkiri, Besma & Hammoudeh, Shawkat & Aloui, Chaker & Yarovaya, Larisa, 2017, "Are Islamic indexes a safe haven for investors? An analysis of total, directional and net volatility spillovers between conventional and Islamic indexes and importance of crisis periods," Pacific-Basin Finance Journal, Elsevier, volume 43, issue C, pages 124-150, DOI: 10.1016/j.pacfin.2017.03.001.
• Al Rahahleh, Naseem & Bhatti, M. Ishaq & Adeinat, Iman, 2017, "Tail dependence and information flow: Evidence from international equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 474, issue C, pages 319-329, DOI: 10.1016/j.physa.2017.01.063.
• Schmidbauer, Harald & Rösch, Angi & Uluceviz, Erhan, 2017, "Frequency aspects of information transmission in a network of three western equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 486, issue C, pages 933-946, DOI: 10.1016/j.physa.2017.05.082.
• Sant’Anna, Leonardo R. & Filomena, Tiago P. & Caldeira, João F., 2017, "Index tracking and enhanced indexing using cointegration and correlation with endogenous portfolio selection," The Quarterly Review of Economics and Finance, Elsevier, volume 65, issue C, pages 146-157, DOI: 10.1016/j.qref.2016.08.008.
• Wu, Chih-Chiang & Wu, Chang-Che, 2017, "The asymmetry in carry trade and the U.S. dollar," The Quarterly Review of Economics and Finance, Elsevier, volume 65, issue C, pages 304-313, DOI: 10.1016/j.qref.2016.12.004.
• Padmakumari, Lakshmi & S., Maheswaran, 2017, "A new statistic to capture the level dependence in stock price volatility," The Quarterly Review of Economics and Finance, Elsevier, volume 65, issue C, pages 355-362, DOI: 10.1016/j.qref.2016.12.001.
• Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017, "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, volume 47, issue C, pages 159-175, DOI: 10.1016/j.iref.2016.10.007.
• Kumar, Dilip, 2017, "Realized volatility transmission from crude oil to equity sectors: A study with economic significance analysis," International Review of Economics & Finance, Elsevier, volume 49, issue C, pages 149-167, DOI: 10.1016/j.iref.2017.01.027.
• Tsukuda, Yoshihiko & Shimada, Junji & Miyakoshi, Tatsuyoshi, 2017, "Bond market integration in East Asia: Multivariate GARCH with dynamic conditional correlations approach," International Review of Economics & Finance, Elsevier, volume 51, issue C, pages 193-213, DOI: 10.1016/j.iref.2017.05.013.
• Uctum, Remzi & Renou-Maissant, Patricia & Prat, Georges & Lecarpentier-Moyal, Sylvie, 2017, "Persistence of announcement effects on the intraday volatility of stock returns: Evidence from individual data," Review of Financial Economics, Elsevier, volume 35, issue C, pages 43-56, DOI: 10.1016/j.rfe.2017.03.001.
• Serletis, Apostolos & Istiak, Khandokar, 2017, "Financial intermediary leverage spillovers," Research in International Business and Finance, Elsevier, volume 39, issue PB, pages 1000-1007, DOI: 10.1016/j.ribaf.2016.03.001.
• Chevallier, Julien & Ielpo, Florian, 2017, "Investigating the leverage effect in commodity markets with a recursive estimation approach," Research in International Business and Finance, Elsevier, volume 39, issue PB, pages 763-778, DOI: 10.1016/j.ribaf.2014.09.010.
• Walther, Thomas & Klein, Tony & Thu, Hien Pham & Piontek, Krzysztof, 2017, "True or spurious long memory in European non-EMU currencies," Research in International Business and Finance, Elsevier, volume 40, issue C, pages 217-230, DOI: 10.1016/j.ribaf.2017.01.003.
• Kumari, Jyoti & Mahakud, Jitendra & Hiremath, Gourishankar S., 2017, "Determinants of idiosyncratic volatility: Evidence from the Indian stock market," Research in International Business and Finance, Elsevier, volume 41, issue C, pages 172-184, DOI: 10.1016/j.ribaf.2017.04.022.
• Nadal, Raquel & Szklo, Alexandre & Lucena, André, 2017, "Time-varying impacts of demand and supply oil shocks on correlations between crude oil prices and stock markets indices," Research in International Business and Finance, Elsevier, volume 42, issue C, pages 1011-1020, DOI: 10.1016/j.ribaf.2017.07.037.
• Issahaku, Haruna & Abor, Joshua Yindenaba & Harvey, Simon Kwadzogah, 2017, "Remittances, banks and stock markets: Panel evidence from developing countries," Research in International Business and Finance, Elsevier, volume 42, issue C, pages 1413-1427, DOI: 10.1016/j.ribaf.2017.07.080.
• Ahmed, Walid M.A., 2017, "On the dynamic interactions between energy and stock markets under structural shifts: Evidence from Egypt," Research in International Business and Finance, Elsevier, volume 42, issue C, pages 61-74, DOI: 10.1016/j.ribaf.2017.05.006.
• Trabelsi, Nader & Naifar, Nader, 2017, "Are Islamic stock indexes exposed to systemic risk? Multivariate GARCH estimation of CoVaR," Research in International Business and Finance, Elsevier, volume 42, issue C, pages 727-744, DOI: 10.1016/j.ribaf.2017.07.013.
• Ben Rejeb, Aymen, 2017, "On the volatility spillover between lslamic and conventional stock markets: A quantile regression analysis," Research in International Business and Finance, Elsevier, volume 42, issue C, pages 794-815, DOI: 10.1016/j.ribaf.2017.07.017.
• John King, 2017, "Inflation targeting and monetary policy," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 60, issue 2, pages 65-80.
• Rod Tyers & Yixiao Zhou, 2017, "Automation and Inequality with Taxes and Transfers," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-16, Feb.
• Joseph P. Hughes & Loretta J. Mester & Choon-Geol Moon, 2017, "Measuring agency costs and the value of investment opportunities of US bank holding companies with stochastic frontier estimation," Chapters, Edward Elgar Publishing, chapter 11, in: Jacob A. Bikker & Laura Spierdijk, "Handbook of Competition in Banking and Finance".
• Chang, C-L. & McAleer, M.J. & Zuo, G., 2017, "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI 2017-14, May.
• Zopiatis, A. & Savva, C.S. & Lambertides, N. & McAleer, M.J., 2017, "Tourism Stocks in Times of Crises: An Econometric Investigation of Unexpected Non-macroeconomic Factors," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2017-15, Jun.
• Chang, C-L. & McAleer, M.J., 2017, "The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2017-17, Jun.
• McAleer, M.J., 2017, "Stationarity and Invertibility of a Dynamic Correlation Matrix," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number TI 2017-082/III, Sep.
• Tan, A.C. & McAleer, M.J., 2017, "Theoretical and Empirical Differences Between Diagonal and Full BEKK for Risk Management," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number 17-069/III, Jul.
• Asai, M. & McAleer, M.J. & Peiris, S., 2017, "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2017-29, Nov.
• Chang, C-L. & McAleer, M.J., 2017, "The Fiction of Full BEKK," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number TI 2017-015/III, Jan.
• Chang, C-L. & Hsieh, T-L. & McAleer, M.J., 2017, "Connecting VIX and Stock Index ETF," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number 2016-010/III, Jan.
• Asai, M. & McAleer, M.J., 2017, "Forecasting the Volatility of Nikkei 225 Futures," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number TI 2017-017/III, Jan.
• Chen, J. & Kobayashi, M. & McAleer, M.J., 2017, "Testing for Volatility Co-movement in Bivariate Stochastic Volatility Models," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number TI 2017-022/III, Feb.
• Héctor F. Salazar-Núñez & Francisco Venegas-Martínez & Cuauhtémoc Calderón-Villareal, 2017, "¿Existe memoria larga en mercados bursátiles, o depende del modelo, periodo o frecuencia? (Is there Long Memory in Stock Markets, or Does it Depend on the Model, Period or Frequency?)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, volume 0, issue 1, pages 1-24, May.
• Emmanuel I. MICHAEL & Ikechukwu A. ACHA & Joseph Michael ESSIEN, 2017, "Nigeria’s Investment Environment: Issues of Economic Growth and Development," Expert Journal of Finance, Sprint Investify, volume 5, issue 1, pages 1-11.
• Ikechukwu A. ACHA & Emmanuel IKPE MICHAEL & Joseph M. ESSIEN, 2017, "Nigeria’s Investment Environment: Issues of Economic Growth and Development," Expert Journal of Finance, Sprint Investify, volume 5, issue , pages 1-11.
• Barbara Bedowska-Sojka, 2017, "How Jumps Affect Liquidity? The Evidence from Poland," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 67, issue 1, pages 39-52, March.
• Berna Kirkulak-Uludag & Zorikto Lkhamazhapov, 2017, "Volatility Dynamics of Precious Metals: Evidence from Russia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 67, issue 4, pages 300-317, August.
• Adam Kucera, 2017, "Interest Rates Modeling and Forecasting: Do Macroeconomic Factors Matter?," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2017/08, Mar, revised Mar 2017.
• Matej Nevrla, 2017, "Systemic Risk in the European Financial and Energy Sector: Dynamic Factor Copula Approach," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2017/11, May, revised May 2017.
• Jozef Barunik & Lucie Kraicova, 2017, "Common Cycles in Volatility and Cross Section of Stock Returns," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2017/19, Aug, revised Aug 2017.
• Josef Kurka, 2017, "Do Cryptocurrencies and Traditional Asset Classes Influence Each Other?," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2017/29, Dec, revised Dec 2017.
• Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2017, "The Janus-faced nature of debt : result from a data-driven cointegrated SVAR approach," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-02, Jan.
• Lily Y. Liu, 2017, "Estimating Loss Given Default from CDS under Weak Identification," Supervisory Research and Analysis Working Papers, Federal Reserve Bank of Boston, number RPA 17-1, May.
• Silvio Contessi & Pierangelo De Pace & Massimo Guidolin, 2017, "Mildly Explosive Dynamics in U.S. Fixed Income Markets," Globalization Institute Working Papers, Federal Reserve Bank of Dallas, number 324, Aug, DOI: 10.24149/gwp324r1.
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• Todd Prono, 2017, "Regular Variation of Popular GARCH Processes Allowing for Distributional Asymmetry," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2017-095, Sep, DOI: 10.17016/FEDS.2017.095.
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• Giampiero M. Gallo & Edoardo Otranto, 2017, "Combining Sharp and Smooth Transitions in Volatility Dynamics: a Fuzzy Regime Approach," Econometrics Working Papers Archive, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", number 2017_05, Aug.
• Chia-Lin Chang & Michael McAleer, 2017, "A Simple Test for Causality in Volatility," Econometrics, MDPI, volume 5, issue 1, pages 1-5, March.
• Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2017, "Copula–Based vMEM Specifications versus Alternatives: The Case of Trading Activity," Econometrics, MDPI, volume 5, issue 2, pages 1-24, April.
• Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017, "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, volume 6, issue 1, pages 1-24, December.
• Shelton Peiris & Manabu Asai & Michael McAleer, 2017, "Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models," JRFM, MDPI, volume 10, issue 4, pages 1-16, December.
• Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017, "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, volume 9, issue 10, pages 1-22, October.
• Rui Pedro Brito & Hélder Sebastião & Pedro Godinho, 2017, "On the gains of using high frequency data and higher moments in Portfolio Selection," CeBER Working Papers, Centre for Business and Economics Research (CeBER), University of Coimbra, number 2017-02, Feb.
• Scaillet, Olivier & Treccani, Adrien & Trevisan, Christopher, 2017, "High-frequency jump analysis of the bitcoin market," Working Papers, University of Geneva, Geneva School of Economics and Management, number unige:93900.
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• Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017, "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Post-Print, HAL, number hal-01795051, Mar, DOI: 10.1080/07350015.2015.1123636.
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• Serge Darolles & Christian Francq & Sébastien Laurent, 2017, "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print, HAL, number hal-04590471, Aug.
• Serge Darolles & Christian Francq & Sébastien Laurent, 2017, "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print, HAL, number hal-04590522, Jun.
• Christian Francq & M.D. Jiménez-Gamero & S.G. Meintanis, 2017, "Tests for conditional ellipticity in multivariate GARCH models," Post-Print, HAL, number hal-05417316, Feb, DOI: 10.1016/j.jeconom.2016.10.001.
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• Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2017, "The Janus-faced nature of debt : results form a data driven cointegrated SVAR approach," Working Papers, HAL, number hal-03457555, Feb.
• Christophe Boucher & Gilles de Truchis & Elena Ivona Dumitrescu & Sessi Tokpavi, 2017, "Testing for Extreme Volatility Transmission with Realized Volatility Measures," Working Papers, HAL, number hal-04141651.
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• Wenger, Kai & Leschinski, Christian & Sibbertsen, Philipp, 2017, "The Memory of Volatility," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-601, Jul.
• Alexander N. Bogin & William M. Doerner, 2017, "Property Renovations and Their Impact on House Price Index Construction," FHFA Staff Working Papers, Federal Housing Finance Agency, number 17-02, Mar, DOI: 10.1080/10835547.2019.12091526.
• TAKAMIZAWA, Hideyuki & 高見澤, 秀幸, 2017, "A Term Structure Model of Interest Rates with Quadratic Volatility," Working Paper Series, Hitotsubashi University Center for Financial Research, number G-1-18, Dec.
• Matthew Greenwood-Nimmo & Viet Hoang Nguyen & Yongcheol Shin, 2017, "What’s Mine Is Yours: Sovereign Risk Transmission during the European Debt Crisis," Melbourne Institute Working Paper Series, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, number wp2017n17, Jul.
• Jack J.W. Yang & Chien-Tsung Li, 2017, "Can Skewed Garch-Type Distributions Improve Volatility Forecasts During Global Financial Crisis?," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, volume 11, issue 2, pages 39-50.
• Zi-Yi Guo & Yangxiaoteng Luo, 2017, "Dynamic Stochastic Factors, Risk Management and the Energy Futures," International Business Research, Canadian Center of Science and Education, volume 10, issue 9, pages 50-59, September.
• Goncalves, Silvia & Hounyo, Ulrich & Meddahi, Nour, 2017, "Bootstrapping Pre-Averaged Realized Volatility under Market Microstructure Noise," IDEI Working Papers, Institut d'Économie Industrielle (IDEI), Toulouse, number 869, May.
• Linda Karlina Sari & Noer Azam Achsani & Bagus Sartono, 2017, "Volatility Transmission Of The Main Global Stock Return Towards Indonesia," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 20, issue 2, pages 229-256, October, DOI: https://doi.org/10.21098/bemp.v20i2.
• Anatoly A. Peresetsky & Ruslan I. Yakubov, 2017, "Autocorrelation in an unobservable global trend: does it help to forecast market returns?," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, volume 7, issue 1/2, pages 152-169.
• Gabriel Rodriguez, 2017, "Selecting between Autoregressive Conditional Heteroskedasticity Models: An Empirical Application to the Volatility of Stock Returns in Peru," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, volume 32, issue 1, pages 69-94, April.
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• Oscar Valdemar De la Torre Torres & Luis Guadalupe Macías Trejo, 2017, "Los beneficios de la inversión socialmente responsable en el desempeño de fondos de pensiones mexicanos," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 12, issue 3, pages 67-87, Julio-Sep.
• Julien Chevallier & Duc Khuong Nguyen & Jonathan Siverskog & Gazi Salah Uddin, 2017, "Market Integration and Financial Linkages among Stock Markets in Pacific Basin Countries," Working Papers, Department of Research, Ipag Business School, number 2017-005, Jan.
• Chui-Chun Tsai & Tsun-Siou Lee, 2017, "Liquidity-Adjusted Value-at-Risk for TWSE Leverage/ Inverse ETFs: A Hellinger Distance Measure Research," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, volume 13, issue 1, pages 53-81, February.
• William A. Barnett & Liting Su, 2017, "Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 201707, Oct, revised Oct 2017.