Report NEP-FMK-2021-06-28

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:

• Bo Becker & Efraim Benmelech, 2021. "The Resilience of the U.S. Corporate Bond Market During Financial Crises," NBER Working Papers 28868, National Bureau of Economic Research, Inc.
• Ahmet Goncu, 2021. "Effects of Covid-19 Pandemic on Chinese Commodity Futures Markets," Papers 2106.09250, arXiv.org.
• Kamaladdin Fataliyev & Aneesh Chivukula & Mukesh Prasad & Wei Liu, 2021. "Stock Market Analysis with Text Data: A Review," Papers 2106.12985, arXiv.org, revised Jul 2021.
• Jaydip Sen & Sidra Mehtab, 2021. "Design and Analysis of Robust Deep Learning Models for Stock Price Prediction," Papers 2106.09664, arXiv.org.
• Michele Costola & Matteo Iacopini & Carlo R. M. A. Santagiustina, 2021. "On the "mementum" of Meme Stocks," Papers 2106.03691, arXiv.org.
• Jaehyung Choi & Hyangju Kim & Young Shin Kim, 2021. "Diversified reward-risk parity in portfolio construction," Papers 2106.09055, arXiv.org, revised Sep 2022.
• Anders D. Sleire & B{aa}rd St{o}ve & H{aa}kon Otneim & Geir Drage Berentsen & Dag Tj{o}stheim & Sverre Hauso Haugen, 2021. "Portfolio Allocation under Asymmetric Dependence in Asset Returns using Local Gaussian Correlations," Papers 2106.12425, arXiv.org.
• Samuel Palmer & Serkan Sahin & Rodrigo Hernandez & Samuel Mugel & Roman Orus, 2021. "Quantum Portfolio Optimization with Investment Bands and Target Volatility," Papers 2106.06735, arXiv.org, revised Aug 2021.
• Liao Zhu & Haoxuan Wu & Martin T. Wells, 2021. "A News-based Machine Learning Model for Adaptive Asset Pricing," Papers 2106.07103, arXiv.org.
• Luca Merlo & Lea Petrella & Valentina Raponi, 2021. "Forecasting VaR and ES using a joint quantile regression and implications in portfolio allocation," Papers 2106.06518, arXiv.org.
• Nektarios Aslanidis & Aurelio F. Bariviera & 'Oscar G. L'opez, 2021. "The link between Bitcoin and Google Trends attention," Papers 2106.07104, arXiv.org.
• Liping Yang, 2021. "Next-Day Bitcoin Price Forecast Based on Artificial intelligence Methods," Papers 2106.12961, arXiv.org.
• Roberto Mota Navarro & Paulino Monroy Castillero & Francois Leyvraz, 2021. "Time-dependent relations between gaps and returns in a Bitcoin order book," Papers 2106.02187, arXiv.org, revised Jun 2021.
• Beatrice Bertelli & Gianna Boero & Costanza Torricelli, 2021. "The market price of greenness A factor pricing approach for Green Bonds," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0083, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
• Hengxu Lin & Dong Zhou & Weiqing Liu & Jiang Bian, 2021. "Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport," Papers 2106.12950, arXiv.org, revised Jun 2021.
• Alexander Barzykin & Philippe Bergault & Olivier Gu'eant, 2021. "Algorithmic market making in dealer markets with hedging and market impact," Papers 2106.06974, arXiv.org, revised Dec 2022.
• Katsafados, Apostolos G. & Leledakis, George N. & Pyrgiotakis, Emmanouil G. & Androutsopoulos, Ion & Fergadiotis, Manos, 2021. "Machine Learning in U.S. Bank Merger Prediction: A Text-Based Approach," MPRA Paper 108272, University Library of Munich, Germany.
• Sriya Anbil & Alyssa G. Anderson & Zeynep Senyuz, 2021. "Are Repo Markets Fragile? Evidence from September 2019," Finance and Economics Discussion Series 2021-028, Board of Governors of the Federal Reserve System (U.S.).