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Tourism stocks in times of crisis : an econometric investigation of unexpected nonmacroeconomic factors

Zopiatis, Anastasios; Savva, Christos S.; Lambertides, … - In: Journal of travel research : a quarterly publication of … 58 (2019) 3, pp. 459-479

Persistent link: https://www.econbiz.de/10011983320

Do we need stochastic volatility and generalised autoregressive conditional heteroscedasticity? : Comparing squared end-of-day returns on ftse

Allen, David E.; McAleer, Michael - In: Risks : open access journal 8 (2020) 1/12, pp. 1-20

The paper examines the relative performance of Stochastic Volatility (SV) and Generalised Autoregressive Conditional … Heteroscedasticity (GARCH) (1,1) models fitted to ten years of daily data for FTSE. As a benchmark, we used the realized volatility (RV … standard volatility models if the simple expedient of using lagged squared demeaned daily returns provides a better RV …

Persistent link: https://www.econbiz.de/10012203997

Conditional correlations and volatility spillovers between crude oil and stock index returns

Chang, Chia-Lin; McAleer, Michael; Roengchai Tansuchat - In: The North American journal of economics and finance : a … 25 (2013), pp. 116-138

Persistent link: https://www.econbiz.de/10009777824

Are the S&P 500 index and crude oil, natural gas and ethanol futures related for intra-day data?

Caporin, Massimiliano; Chang, Chia-Lin; McAleer, Michael - In: International review of economics & finance : IREF 59 (2019), pp. 50-70

Persistent link: https://www.econbiz.de/10012202481

Conditional Correlations and Volatility Spillovers between Crude Oil and Stock Index Returns

Tansuchat, Roengchai - 2010

This paper investigates the conditional correlations and volatility spillovers between crude oil returns and stock … empirical results from the VARMA-GARCH and VARMA-AGARCH models provide little evidence of volatility spillovers between the …

Persistent link: https://www.econbiz.de/10013149274

Long run returns predictability and volatility with moving averages

Chang, Chia-Lin; Ilomäki, Jukka; Laurila, Hannu; … - In: Risks : open access journal 6 (2018) 4, pp. 1-18

This paper examines how the size of the rolling window, and the frequency used in moving average (MA) trading strategies, affects financial performance when risk is measured. We use the MA rule for market timing, that is, for when to buy stocks and when to shift to the risk-free rate. The...

Persistent link: https://www.econbiz.de/10011906234