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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

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 performance can be increased further by using open/high/low/close (OHLC …

Persistent link: https://www.econbiz.de/10013040932

Large dynamic covariance matrices: enhancements based on intraday data

De Nard, Gianluca; Engle, Robert F.; Ledoit, Olivier; … - 2020

. (2019) is able to overcome this curse via nonlinear shrinkage estimation of the unconditional correlation matrix. In this …

Persistent link: https://www.econbiz.de/10012253083

CoAnomaly : Correlation Risk in Stock Market Anomalies

Guo, James Tengyu - 2019

pairwise correlation among 34 anomalies, which helps to explain both the time-series and the cross-sectional anomaly return …, CoAnomaly carries a negative price of risk. These return patterns suggest that arbitrageurs take the time-varying correlation …

Persistent link: https://www.econbiz.de/10012900148

Forecasting Stock Market Volatility and Application to Volatility Timing Portfolios

Chun, Dohyun; Cho, Hoon; Ryu, Doojin - 2022

This study predicts stock market volatility and applies them to the standard problem in finance, namely, asset allocation. Based on machine learning and model averaging approaches, we integrate the drivers’ predictive information to forecast market volatilities. Using various evaluation...

Persistent link: https://www.econbiz.de/10013404229

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

Cross-section without factors : correlation risk, strings and asset prices

Distaso, Walter; Mele, Antonio; Vilkov, Grigory - 2021 - This version: January 13, 2021

quantities driven by common factors, which hinders achieving a neat definition of a correlation premium. We formulate a model … returns: an average correlation premium. This premium is both statistically and economically significant, and considerably …-series behavior of the premium for the risk of changes in asset correlations (the premium for correlation risk), including its inverse …

Persistent link: https://www.econbiz.de/10012421289

On the dark side of the market : identifying and analyzing hidden order placements

Hautsch, Nikolaus; Huang, Ruihong - 2012

Trading under limited pre-trade transparency becomes increasingly popular on financial markets. We provide first evidence on traders' use of (completely) hidden orders which might be placed even inside of the (displayed) bid-ask spread. Employing TotalView-ITCH data on order messages at NASDAQ,...

Persistent link: https://www.econbiz.de/10009504616

Testing the stochastic disorder model on stock markets

Sokko, Anastasiia - 2017

This paper examines real-time applications of quickest disorder detection techniques for timing stock markets. The focus is on the stochastic disorder model by Shiryaev, Zhitlukhin, and Ziemba (2014, 2015), Zhitlukhin and Ziemba (2016) and their optimal stopping rule. The model uses sequential...

Persistent link: https://www.econbiz.de/10011875860

Forecasting the volatilities of the Nigeria stock market prices

Ibrahim, Sikiru O. - In: CBN journal of applied statistics 8 (2017) 2, pp. 23-45

The objective of this work is to assess and forecast the volatilities of prices on the Nigeria Stock Exchange. The ARCH family (ARCH, GARCH, TGARCH, EGARCH and PGARCH) and ARIMA models are used to assess and forecast volatilities in prices on the Nigeria stock market. The EGARCH model is found...

Persistent link: https://www.econbiz.de/10011843540

Linear predictability vs. bull and bear market models in strategic asset allocation decisions : evidence from UK data

Guidolin, Massimo; Hyde, Stuart - 2012

Most papers in the portfolio choice literature have examined linear predictability frameworks based on the idea that simple but flexible Vector Autoregressive (VAR) models can be expanded to produce portfolio allocations that hedge against the bull and bear dynamics typical of financial markets...

Persistent link: https://www.econbiz.de/10009658243