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Oil price, oil price implied volatility (OVX) and illiquidity premiums in the US : (a)symmetry and the impact of macroeconomic factors
Essa, Mohammad Sharik; Giouvris, Evangelos - In: Journal of risk and financial management : JRFM 13 (2020) 4/70, pp. 1-40
We examine the impact of oil price and oil price volatility on US illiquidity premiums (return on illiquid …-minus-liquid stocks), using the US Oil Fund options implied volatility OVX index. We use daily data from 2007 to 2018, taking into account …
Persistent link: https://www.econbiz.de/10012302569
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The fundamental equation in tourism finance
McAleer, Michael - In: Journal of risk and financial management : JRFM 8 (2015) 4, pp. 369-374
The purpose of the paper is to present the fundamental equation in tourism finance that connects tourism research to empirical finance and financial econometrics. The energy industry, which includes, oil, gas and bio-energy fuels, together with the tourism industry, are two of the most important...
Persistent link: https://www.econbiz.de/10011545065
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Equity market contagion in return volatility during Euro Zone and global financial crises : evidence from FIMACH model
Quoreshi, A. M. M. Shahiduzzaman; Uddin, Reaz; … - In: Journal of risk and financial management : JRFM 12 (2019) 2/94, pp. 1-18
volatility, which has not been studied earlier. The study examines squared stock index returns of equity in 35 markets, including … of volatility. Results from the conditional heteroskedasticity long memory model show the evidence of long memory in the …
Persistent link: https://www.econbiz.de/10012022043
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Quasi-maximum likelihood estimation for long memory stock transaction data - under conditional heteroskedasticity framework
Quoreshi, A. M. M. Shahiduzzaman; Uddin, Reaz; Khan, … - In: Journal of risk and financial management : JRFM 12 (2019) 2/74, pp. 1-13
This paper introduces Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data of unknown underlying distribution. The moments with conditional heteroscedasticity have been discussed. In a Monte Carlo experiment, it was found that the QML estimator performs as well as CLS and...
Persistent link: https://www.econbiz.de/10012022130
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Testing for causality-in-mean and variance between the UK housing and stock markets
Toyoshima, Yuki - In: Journal of risk and financial management : JRFM 11 (2018) 2, pp. 1-10
This paper employs the two-step procedure to analyze the causality-in-mean and causality-in-variance between the housing and stock markets of the UK. The empirical findings make two key contributions. First, although previous studies have indicated a one-way causal relation from the housing...
Persistent link: https://www.econbiz.de/10011856853
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Leverage and volatility feedback effects and conditional dependence index : a nonparametric study
Sun, Yiguo; Wu, Ximing - In: Journal of risk and financial management : JRFM 11 (2018) 2, pp. 1-20
volatility index (VIX) via a nonparametric copula method. Specifically, we propose a conditional dependence index to investigate … that the nonparametric leverage effect is much stronger than the nonparametric volatility feedback effect, although, in …
Persistent link: https://www.econbiz.de/10011857010
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The dynamic relationship between investor attention and stock market volatility : international evidence
Ben El Hadj Said, Imene; Slim, Skander - In: Journal of risk and financial management : JRFM 15 (2022) 2, pp. 1-25
This paper investigates the role of investor attention in forecasting realized volatility for fourteen international … augmented Empirical Similarity model that combines three volatility components, defined over different time horizons, using the … similarity measure between lagged Google search queries and volatility. Results show that investor attention positively affects …
Persistent link: https://www.econbiz.de/10012821063
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Modelling returns in US housing prices : you're the one for me, fat tails
Kiss, Tamás; Nguyen, Hoang; Österholm, Pär - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-17
In this paper, we analysed the heavy-tailed behaviour in the dynamics of housing-price returns in the United States. We investigated the sources of heavy tails by estimating autoregressive models in which innovations can be subject to GARCH effects and/or non-Gaussianity. Using monthly data from...
Persistent link: https://www.econbiz.de/10012794370
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Stochastic volatility and GARCH : do squared end-of-day returns provide similar information?
Allen, David E. - In: Journal of risk and financial management : JRFM 13 (2020) 9/202, pp. 1-26
The paper examines the relative performance of Stochastic Volatility (SV) and GARCH(1,1) models fitted to twenty plus … years of daily data for three indices. As a benchmark, I use the realized volatility (RV) for the S&P 500, DOW JONES and … volatility models, if the simple expedient of using lagged squared demeaned daily returns provides a better RV predictor, at …
Persistent link: https://www.econbiz.de/10012384599
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Financial crises, macroeconomic variables, and long-run risk : an econometric analysis of stock returns correlations (2000 to 2019)
Tronzano, Marco - In: Journal of risk and financial management : JRFM 14 (2021) 3/127, pp. 1-25
This paper focuses on four major aggregate stock price indexes (SP 500, Stock Europe 600, Nikkei 225, Shanghai Composite) and two "safe-haven" assets (Gold, Swiss Franc), and explores their return co-movements during the last two decades. Significant contagion effects on stock markets are...
Persistent link: https://www.econbiz.de/10012486245