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Recent Developments in Financial Economics and Econometrics: An Overview

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  • Chang, C-L.
  • Allen, D.E.
  • McAleer, M.J.

Abstract

Research papers in empirical finance and financial econometrics are among the most widely cited, downloaded and viewed articles in the discipline of Finance. The special issue presents several papers by leading scholars in the field on “Recent Developments in Financial Economics and Econometrics”. The breadth of coverage is substantial, and includes original research and comprehensive review papers on theoretical, empirical and numerical topics in Financial Economics and Econometrics by leading researchers in finance, financial economics, financial econometrics and financial statistics. The purpose of this special issue on “Recent Developments in Financial Economics and Econometrics” is to highlight several novel and significant developments in financial economics and financial econometrics, specifically dynamic price integration in the global gold market, a conditional single index model with local covariates for detecting and evaluating active management, whether the Basel Accord has improved risk management during the global financial crisis, the role of banking regulation in an economy under credit risk and liquidity shock, separating information maximum likelihood estimation of the integrated volatility and covariance with micro-market noise, stress testing correlation matrices for risk management, whether bank relationship matters for corporate risk taking, with evidence from listed firms in Taiwan, pricing options on stocks denominated in different currencies, with theory and illustrations, EVT and tail-risk modelling, with evidence from market indices and volatility series, the economics of data using simple model free volatility in a high frequency world, arbitrage-free implied volatility surfaces for options on single stock futures, the non-uniform pricing effect of employee stock options using quantile regression, nonlinear dynamics and recurrence plots for detecting financial crisis, how news sentiment impacts asset volatility, with evidence from long memory and regime-switching approaches, quantitative evaluation of contingent capital and its applications, high quantiles estimation with Quasi-PORT and DPOT, with an application to value-at-risk for financial variables, evaluating inflation targeting based on the distribution of inflation and inflation volatility, the size effects of volatility spillovers for firm performance and exchange rates in tourism, forecasting volatility with the realized range in the presence of noise and non-trading, using CARRX models to study factors affecting the volatilities of Asian equity markets, deciphering the Libor and Euribor spreads during the subprime crisis, information transmission between sovereign debt CDS and other financial factors for Latin America, time-varying mixture GARCH models and asymmetric volatility, and diagnostic checking for non-stationary ARMA models with an application to financial data.

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Bibliographic Info

Paper provided by Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute in its series Econometric Institute Research Papers with number EI 2013-03.

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Date of creation: 01 Jan 2013
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Handle: RePEc:ems:eureir:38695

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Phone: 31 10 4081111
Web page: http://www.eur.nl/ese
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Related research

Keywords: asymmetry; contingent capital; corporate risk taking; credit risk; diagnostic checking; dynamic price integration; equity markets; exchange rates; global financial crisis; inflation targeting; liquidity shock; local covariates; micro-market noise; mixture models; news sentiment; options; quantiles; realized range; risk management; size effects; sovereign debt CDS; sub-prime crisis; value-at-risk; volatility;

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References

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  1. Ginindza, Mzwandile & Maasoumi, Esfandiar, 2013. "Evaluating inflation targeting based on the distribution of inflation and inflation volatility," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 497-518.
  2. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
  3. Chang, Chia-Lin & Chang, Jui-Chuan Della & Huang, Yi-Wei, 2012. "Dynamic Price Integration in the Global Gold Market," MPRA Paper 41627, University Library of Munich, Germany.
  4. So, Mike K.P. & Wong, Jerry & Asai, Manabu, 2013. "Stress testing correlation matrices for risk management," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 310-322.
  5. Addo, Peter Martey & Billio, Monica & Guégan, Dominique, 2013. "Nonlinear dynamics and recurrence plots for detecting financial crisis," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 416-435.
  6. Garvey, John & Gallagher, Liam A., 2013. "The economics of data: Using simple model-free volatility in a high-frequency world," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 370-379.
  7. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism," Working Papers in Economics 13/04, University of Canterbury, Department of Economics and Finance.
  8. Loriana Pelizzon & Domenico Sartore, 2013. "Deciphering the Libor and Euribor Spreads during the subprime crisis," Working Papers 2013: 14, Department of Economics, University of Venice "Ca' Foscari".
  9. Wang, Alan T. & Yang, Sheng-Yung & Yang, Nien-Tzu, 2013. "Information transmission between sovereign debt CDS and other financial factors – The case of Latin America," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 586-601.
  10. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," KIER Working Papers 832, Kyoto University, Institute of Economic Research.
  11. Ng, Andrew C.Y. & Li, Johnny Siu-Hang & Chan, Wai-Sum, 2013. "Pricing options on stocks denominated in different currencies: Theory and illustrations," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 339-354.
  12. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism," Tinbergen Institute Discussion Papers 13-008/III, Tinbergen Institute.
  13. da Silva, Marcos Soares & Divino, Jose Angelo, 2013. "The role of banking regulation in an economy under credit risk and liquidity shock," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 266-281.
  14. Kotzé, Antonie & Labuschagne, Coenraad C.A. & Nair, Merell L. & Padayachi, Nadine, 2013. "Arbitrage-free implied volatility surfaces for options on single stock futures," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 380-399.
  15. Caporin, Massimiliano & Lisi, Francesco, 2013. "A Conditional Single Index model with Local Covariates for detecting and evaluating active portfolio management," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 236-249.
  16. Bannouh, K. & Martens, M.P.E. & van Dijk, D.J.C., 2012. "Forecasting Volatility with the Realized Range in the Presence of Noise and Non-Trading," ERIM Report Series Research in Management ERS-2012-018-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
  17. Araújo Santos, Paulo & Fraga Alves, Isabel & Hammoudeh, Shawkat, 2013. "High quantiles estimation with Quasi-PORT and DPOT: An application to value-at-risk for financial variables," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 487-496.
  18. Gupta, Anshul & Akuzawa, Toshinao & Nishiyama, Yoshihiko, 2013. "Quantitative evaluation of contingent capital and its applications," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 457-486.
  19. Haas, Markus & Krause, Jochen & Paolella, Marc S. & Steude, Sven C., 2013. "Time-varying mixture GARCH models and asymmetric volatility," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 602-623.
  20. Kunitomo, Naoto & Sato, Seisho, 2013. "Separating Information Maximum Likelihood estimation of the integrated volatility and covariance with micro-market noise," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 282-309.
  21. Kuo, Chii-Shyan & Yu, Shih-Ti, 2013. "The non-uniform pricing effect of employee stock options using quantile regression," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 400-415.
  22. Allen, David E. & Singh, Abhay K. & Powell, Robert J., 2013. "EVT and tail-risk modelling: Evidence from market indices and volatility series," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 355-369.
  23. Ling, Shiqing & Zhu, Ke & Yee, Chong Ching, 2013. "Diagnostic checking for non-stationary ARMA models with an application to financial data," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 624-639.
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Cited by:
  1. Chang, Chia-Lin, 2014. "Modelling a Latent Daily Tourism Financial Conditions Index," MPRA Paper 54887, University Library of Munich, Germany.

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