The role of gold futures in mitigating the impact of economic uncertainty on spot prices: Evidence from China

This paper studies the co-integration relationship and volatility spillover effect between China's gold futures and spot prices through the VECM-BEKK-GARCH model. Then, MSGARCH and DCCE-GARCH are applied to study the relationship among China's gold futures market, spot market price volatility and the stabilization effect in uncertain economic environments. This paper enriches the current research, providing gold market participants with hints to address economic uncertainty. The empirical results show that China's gold futures market has a weak stabilization effect on spot price volatility. In scenarios with uncertain economic information and uncertain macroeconomic changes, the correlation between gold futures and spot price volatility is reduced in China, and the role of gold futures in stabilizing the spot price weakens. Furthermore, with economic uncertainty, the fluctuation range of the gold futures price is greater than that of the spot price, with a tendency of more frequent fluctuations. This also means that the effectiveness of the futures market in regulating the spot price will be reduced, and gold market regulators need to stabilize the market through alternative methods to futures.     

Market closure effects on return, volatility, and turnover patterns in the Hong Kong index futures market

This paper examines the market closure effect of the Stock Exchange of Hong Kong (SEHK) on the intraday behaviour of the index futures contract which continues to trade for 5–15 min after the close of the SEHK. The behaviour of the index futures market in Hong Kong is consistent with the contagion model of King and Wadhwani (1990) in that the close of the SEHK leads to an immediate downturn in the return, volatility, and turnover in the index futures market. The long period of nontrading before the morning also leads to a higher morning volatility and turnover.     

A generalization of the Hull and White formula with applications to option pricing approximation

By means of Malliavin calculus we see that the classical Hull and White formula for option pricing can be extended to the case where the volatility and the noise driving the stock prices are correlated. This extension will allow us to describe the effect of correlation on option prices and to derive approximate option pricing formulas.A previous version of this paper has benefited from helpful comments by two anonymous referees.     

The effect of financial constraints,investment policy,product market competition and corporate governance on the value of cash holdings

This study empirically investigates the value shareholders place on excess cash holdings and how shareholders’ valuation of cash holdings is associated with financial constraints, firm growth, cash‐flow uncertainty and product market competition for Australian firms from 1990 to 2007. Our results indicate that the marginal value of cash holdings to shareholders declines with larger cash holdings and higher leverage. However, firms that are more financially constrained, that have higher growth rates and that face greater uncertainty exhibit a higher marginal value of cash holdings. These findings are consistent with the explanation that excess cash holdings are not necessarily detrimental to firm value. Firms with costly external financing and that also save more cash for current operating and future investing needs find that the market values these cash hoarding policies favourably. Finally, there is limited evidence of an association between various corporate governance measures and the value of cash holdings for a shorter sample period.     

Negative oil price shocks transmission: The comparative effects of the GFC,shale oil boom,and Covid-19 downturn on French gasoline prices

This article analyzes the transmission mechanisms between oil prices and fuel prices in France over the period 2005−2020. The econometric procedure focuses on three singular years marked by significant negative oil prices shocks: 2008 (the global financial crisis), 2014 (the sharp drop in prices due to the boom of US shale oil), 2020 (Covid-19 economic downturn). To analyze the linkages between oil and fuel prices, we use the ARDL bounds testing approach of cointegration with weekly data between January 7, 2005 and October 30, 2020. We find that over the entire period, fuel distributors report increases in oil prices more than decreases. We find that this asymmetry is highest in 2008. Our paper provides some policy recommendations based on our findings.