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A fast method based on coordinate-wise descent algorithms is developed to solve portfolio optimization problems in which asset weights are constrained by Lq norms for 1=q=2. The method is first applied to solve a minimum variance portfolio (mvp) optimization problem in which asset weights are...
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Statistical inferences for weights of the global minimum variance portfolio (GMVP) are of both theoretical and practical relevance for mean-variance portfolio selection. Daily realized GMVP weights depend only on realized covariance matrix computed from intraday highfrequency returns. In this...
Persistent link: https://www.econbiz.de/10012912220
A five cent $0.05 investment in Bitcoin on July 17, 2010, the first date in which there appears to have been a published value had grown to $7,383.39 on July 18, 2018. While Bitcoin as a currency has existed for less than a decade ̶ it had a very limited liquidity and usage during the first few...
Persistent link: https://www.econbiz.de/10012914281
ESG ratings as a stock screener for downside protection can be significantly improved when combined with sentiment indicators derived from news and social media. Following a statistical approach, consisting in evaluating thousands of long-only monthly-rebalanced random portfolios, we find...
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The paper is an empirical research work wherein the principle of Modern Portfolio Theory along with aspects of geographical diversification have been subjected to test. The validation of the said theory has been made via hypothesis testing in light of the financial market data. The paper has...
Persistent link: https://www.econbiz.de/10013102156
Sharpe-like ratios have been traditionally used to measure the performances of portfolio managers. However, they are known to suffer major drawbacks. Among them, two are intricate: (1) they are relative to a peer's performance and (2) the best score is generally assumed to correspond to a "good"...
Persistent link: https://www.econbiz.de/10013106795
This paper examines the relationship between Indian equity prices and other developed markets, in the time-scale domain, using wavelets based multiscale analysis and cross wavelet analysis. Stock markets are analyzed at different levels of resolution which makes it possible to perform a scale by...
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