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Does geopolitical risks predict stock returns and volatility of leading defense companies? : evidence from a nonparametric approach

Apergēs, Nikolaos; Bonato, Matteo; Gupta, Rangan; … - In: Defence and peace economics 29 (2018) 6, pp. 684-696

Persistent link: https://www.econbiz.de/10011957107

Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility

Nonejad, Nima - In: The North American journal of economics and finance : a … 62 (2022), pp. 1-25

Persistent link: https://www.econbiz.de/10013534202

International stock volatility predictability : new evidence from uncertainties

Wang, Jiqian; Ma, Feng; Wang, Tianyang; Wu, Lan - In: Journal of international financial markets, … 85 (2023), pp. 1-17

Persistent link: https://www.econbiz.de/10014433290

Volatility behavior of asset returns based on robust volatility ratio : empirical analysis on global stock indices

Shaik, Muneer; Maheswaran, S. - In: Cogent economics & finance 7 (2019) 1, pp. 1-27

value robust volatility estimator with respect to the standard robust volatility estimator as proposed in the paper by … Muneer & Maheswaran (2018b). We show that the robust volatility ratio is unbiased both in the population as well as in finite … samples. We empirically test the robust volatility ratio on 9 global stock indices from America, Asia Pacific and EMEA markets …

Persistent link: https://www.econbiz.de/10012023869

Conditional heteroskedasticity in the volatility of asset returns

Ding, Yashuang - 2021

Persistent link: https://www.econbiz.de/10013262866

Range-based volatility estimation and forecasting

Benčík, Daniel - 2014

prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … forecasts are produced by a realized range based HAR model with a GARCH volatility-of-volatility component. …

Persistent link: https://www.econbiz.de/10010461231

Improving volatility forecasts with GED-GARCH model: evidence from U.S. stock market

Giacalone, Massimiliano; Mattera, Raffaele; Cozzucoli, … - In: The empirical economics letters : a monthly … 18 (2019) 7, pp. 785-791

Persistent link: https://www.econbiz.de/10012315480

Evaluating density forecasts with an application to stock market returns

Raaij, Gabriela de; Raunig, Burkhard - 2002

Persistent link: https://www.econbiz.de/10001650402

Evaluating density forecasts with an application to stock market returns

Raaij, Gabriela de; Raaij, Gabriela de; Raunig, Burkhard - 2002

Density forecasts have become quite important in economics and finance. For example, such forecasts play a central role in modern financial risk management techniques like Value at Risk. This paper suggests a regression based density forecast evaluation framework as a simple alternative to other...

Persistent link: https://www.econbiz.de/10001657476

Volatility and VAR forecasting for the IBEX-35 stock-return index using FIGARCH-type processes and different evaluation criteria

Ñíguez, Trino-Manuel (contributor) - 2003 - 1. ed. [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10002115963