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The Curious Case of Portfolio Selection : Analysis of Correlations and Diversification over Time
Oskay, Bora - 2018
Persistent link: https://www.econbiz.de/10012913510
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Intrinsic Liquidity in Conditional Volatility Models
Darolles, Serge - 2017
Until recently the liquidity of financial assets has typically been viewed as a second-order consideration. Liquidity was frequently associated with simple transaction costs that impose - temporary if any- effect on asset prices, and whose shocks could be easily diversified away. Yet the...
Persistent link: https://www.econbiz.de/10012943300
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Bitcoin is not the new gold : a comparison of volatility, correlation, and portfolio performance
Klein, Tony; Thu, Hien Pham; Walther, Thomas - 2018
Cryptocurrencies such as Bitcoin are establishing themselves as an investment asset and are often named the New Gold …
Persistent link: https://www.econbiz.de/10011906446
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Dynamic Asset Allocation With Event Risk, Transaction Costs and Predictable Returns
Simonato, Jean-Guy - 2018
We examine the interplay between event risk, transaction costs and predictability on the dynamic asset allocation of an investor with discrete trading opportunities. The model is calibrated to the U.S. stock market and a Gauss-Hermite quadrature approach is used to solve the investor's dynamic...
Persistent link: https://www.econbiz.de/10012921272
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Continuous and jump betas : implications for portfolio diversification
Alexeev, Vitali; Dungey, Mardi H.; Yao, Wenying - In: Econometrics : open access journal 4 (2016) 2, pp. 1-15
Using high-frequency data, we decompose the time-varying beta for stocks into beta for continuous systematic risk and beta for discontinuous systematic risk. Estimated discontinuous betas for S&P500 constituents between 2003 and 2011 generally exceed the corresponding continuous betas. We...
Persistent link: https://www.econbiz.de/10011506397
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Do high-frequency data improve high-dimensional portfolio allocations?
Hautsch, Nikolaus; Kyj, Lada. M.; Malec, Peter - 2013 - First version: September 2011, This version: February 2013
This paper addresses the open debate about the usefulness of high-frequency (HF) data in large-scale portfolio allocation. We consider the problem of constructing global minimum variance portfolios based on the constituents of the S&P 500 over a four-year period covering the 2008 financial...
Persistent link: https://www.econbiz.de/10009714536
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Liquidity Premium, Liquidity-Adjusted Return and Volatility, and a Unified Modern Portfolio Theory : illustrated with Crypto Assets
Deng, Qi; Zhou, Zhong-Guo - 2023
) counterpart in portfolio performance. Collectively, they extend the return/volatility-based Modern Portfolio Theory (MPT) to a … Unified Modern Portfolio Theory (UMPT) with built-in treatments on liquidity risk …
Persistent link: https://www.econbiz.de/10014349884
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Large dynamic covariance matrices: enhancements based on intraday data
De Nard, Gianluca; Engle, Robert F.; Ledoit, Olivier; … - 2021 - This version: June 2021
Multivariate GARCH models do not perform well in large dimensions due to the so-called curse of dimensionality. The recent DCC-NL model of Engle et al. (2019) is able to overcome this curse via nonlinear shrinkage estimation of the unconditional correlation matrix. In this paper, we show how...
Persistent link: https://www.econbiz.de/10012584099
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Profitability of Trading in the Direction of Asset Price Jumps – Analysis of Multiple Assets and Frequencies
Fičura, Milan - 2017
The profitability of a trading system based on the momentum-like effects of price jumps was tested on the time series of 7 assets (EUR/USD, GBP/USD, USD/CHF and USD/JPY exchange rates and Light Crude Oil, E-Mini S&P 500 and VIX Futures), in each case for 7 different frequencies (ranging from...
Persistent link: https://www.econbiz.de/10012964934
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Large dynamic covariance matrices: enhancements based on intraday data
De Nard, Gianluca; Engle, Robert F.; Ledoit, Olivier; … - 2022 - This version: January 2022
Multivariate GARCH models do not perform well in large dimensions due to the so-called curse of dimensionality. The recent DCC-NL model of Engle et al. (2019) is able to overcome this curse via nonlinear shrinkage estimation of the unconditional correlation matrix. In this paper, we show how...
Persistent link: https://www.econbiz.de/10013040932