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Portfolio optimization using cellwise robust association measures and clustering methods with application to highly volatile markets

Menvouta, Emmanuel Jordy; Serneels, Sven; Verdonck, Tim - In: The Journal of finance and data science : JFDS 9 (2023), pp. 1-13

This paper introduces the minCluster portfolio, which is a portfolio optimization method combining the optimization of downside risk measures, hierarchical clustering and cellwise robustness. Using cellwise robust association measures, the minCluster portfolio is able to retrieve the underlying...

Persistent link: https://www.econbiz.de/10014514018

The Mathematics of Idiosyncratic Volatility and the Small Firm Effect : Australian Evidence

Dempsey, Michael J. - 2011

In the context of Australian stockmarkets, we examine the relationship between a stock's return performance, the stock idiosyncratic volatility, and the firm's market capitalization. The paper's main conclusions may be summarized as follows. The stocks of the smallest firms markedly outperform...

Persistent link: https://www.econbiz.de/10013123267

The COVID-19 outbreak and risk-return spillovers between main and SME stock markets in the Mena region

Al-Nassar, Nassar S.; Makram, Beljid - In: International Journal of Financial Studies : open … 10 (2022) 1, pp. 1-28

and medium-sized enterprise (SME) stock markets in Saudi Arabia and Egypt for the periods before and during the COVID-19 … spillovers between the main and SME stock markets are limited to Saudi Arabia, shock and volatility spillovers have different … characteristics and dynamics in both main-SME market pairs. In addition, the dynamic correlations between the main and SME markets are …

Persistent link: https://www.econbiz.de/10012804860

Do high-frequency data improve high-dimensional portfolio allocations?

Hautsch, Nikolaus; Kyj, Lada M.; Malec, Peter - In: Journal of applied econometrics 30 (2015) 2, pp. 263-290

Persistent link: https://www.econbiz.de/10011327609

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

Option-implied information and predictability of extreme returns

Vilkovz, Grigory; Xiaox, Yan - 2013 - This version: January 28, 2013

We study whether prices of traded options contain information about future extreme market events. Our option-implied conditional expectation of market loss due to tail events, or tail loss measure, predicts future market returns, magnitude, and probability of the market crashes, beyond and above...

Persistent link: https://www.econbiz.de/10010226098