Report NEP-FMK-2021-12-06

This is the archive for NEP-FMK, a report on new working papers in the area of Financial Markets. Kwang Soo Cheong issued this report. It is usually issued weekly.

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Other reports in NEP-FMK

The following items were announced in this report:

• Fabio Alessandrini & David Baptista Balula & Eric Jondeau, 2021. "ESG Screening in the Fixed-Income Universe," Swiss Finance Institute Research Paper Series 21-77, Swiss Finance Institute.
• Rocco Ciciretti & Ambrogio Dalò & Giovanni Ferri, 2021. "Herding and Anti-Herding Across ESG Funds," CEIS Research Paper 524, Tor Vergata University, CEIS, revised 05 Nov 2021.
• Kjell G. Nyborg & Jiri Woschitz, 2021. "The Price of Money: How Collateral Policy Affects the Yield Curve," Swiss Finance Institute Research Paper Series 21-74, Swiss Finance Institute.
• Sattarhoff, Cristina & Lux, Thomas, 2021. "Forecasting the Variability of Stock Index Returns with the Multifractal Random Walk Model for Realized Volatilities," Economics Working Papers 2021-02, Christian-Albrechts-University of Kiel, Department of Economics.
• Jaydip Sen & Abhishek Dutta & Sidra Mehtab, 2021. "Stock Portfolio Optimization Using a Deep Learning LSTM Model," Papers 2111.04709, arXiv.org.
• Mao Guan & Xiao-Yang Liu, 2021. "Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach," Papers 2111.03995, arXiv.org, revised Dec 2021.
• Anders Nõu & Darya Lapitskaya & Mustafa Hakan Eratalay & Rajesh Sharma, 2021. "Predicting Stock Return And Volatility With Machine Learning And Econometric Models: A Comparative Case Study Of The Baltic Stock Market," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 135, Faculty of Economics and Business Administration, University of Tartu (Estonia).
• Jaydip Sen & Saikat Mondal & Sidra Mehtab, 2021. "Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model," Papers 2111.04976, arXiv.org.