Does increased hedging lead to decreased price efficiency? The case of VIX ETPs and VIX futures

We examine the impact of the introduction of VIX exchange‐traded products (ETPs) on the information content and pricing efficiency of VIX futures. We document that trades in VIX futures have become less informative and that pricing errors exhibit more persistence after the introduction of VIX ETPs. In addition, we observe that the price process of the VIX futures has become noisier over time. These findings suggest that the introduction of the VIX ETPs had a prominent effect on the properties and dynamics of the VIX futures.     

VIX term structure and VIX futures pricing with realized volatility

Using an extended LHARG model proposed by Majewski et al. (2015, J Econ, 187, 521–531), we derive the closed-form pricing formulas for both the Chicago Board Options Exchange VIX term structure and VIX futures with different maturities. Our empirical results suggest that the quarterly and yearly components of lagged realized volatility should be added into the model to capture the long-term volatility dynamics. By using the realized volatility based on high-frequency data, the proposed model provides superior pricing performance compared with the classic Heston–Nandi GARCH model under a variance-dependent pricing kernel, both in-sample and out-of-sample. The improvement is more pronounced during high volatility periods.     

省思与规制:我国跨境期货交易法律困境及应对

我国推进期货市场"走出去"及国际化战略须以跨境期货交易法律机制构建为前提。文章通过厘定跨境期货交易内涵边界及监管正当性,省思主要法律困境及应对思路,提出应致力于跨境期货交易立法监管理念创新,确立跨境交易监管认同机制,提升跨境期货衍生品交易经纪能力,适度扩大衍生品跨境投资参与主体范围,逐步取消QDII投资品种限制,并从跨境期货交易运行保障、立法监管、风险控制以及解纷机制等方面建构系统法律保护体系,切实保障跨境交易整体性金融安全。     

Covariance breakdowns and connectedness of crude oil futures markets with non-synchronous data

ABSTRACT

This article identifies the breakdowns in the covariance of three benchmark crude oil futures markets (WTI, Brent and Dubai) and investigates the changes of market connectedness across the breakdown periods. As the crude oil futures are traded in different regions, this article eliminates the non-synchronous trading data by employing the Vector Moving Average structure and the Bayesian data augmentation approach, which keeps the integrity of original data without changing its properties. The results show that there are significant breaks in the covariance structure of crude oil futures markets. The breakdown periods are consistent with the periods when the market volatilities are at high level and the returns are volatile. The changes of market connectedness are independent of the covariance states, which supports the globalization hypothesis for the crude oil market. The results also suggest that there is more information flow out of the WTI than to the WTI during the sample period, particularly during the breakdown periods in 2008–2009.     

Testing commodity futures market efficiency under time-varying risk premiums and heteroscedastic prices

We propose a novel test to measure market efficiency while estimating the time-varying risk premiums of commodity futures, given that the prices are heteroscedastic. The risk premium is estimated using a state-space model with a Kalman filter modified for heteroscedasticity. Using 79 commodity futures traded on 16 exchanges during the period 2000–2014 and a Monte Carlo simulation, we demonstrate that the proposal produces robust results compared with conventional approaches. The global financial crisis has improved the efficiency and affected the trading volumes of commodity futures, but it has had no effect on the average or the volatility of risk premiums.     

Gold price dynamics and the role of uncertainty

This study focuses on the dynamics of the gold price against bonds, stocks and exchange rates based on a disaggregation of the underlying relationships across different frequencies applying a wavelet decomposition. To analyze joint extreme movements (i.e. tail dependence), we adopt a copula approach, which helps us to assess the dependence between the returns of gold and other assets in calm and turmoil market times and therefore the hedge and safe haven functions of gold. We also examine whether gold prices are directly affected by changes in macroeconomic uncertainty, economic policy uncertainty and/or CPI forecasters disagreement. Analyzing data for nine economies for a sample period starting in 1985, we find that the role of gold changes significantly after the collapse of Lehman Brothers in 2008. Gold is unable to serve as a hedge or safe haven in the classical sense while the findings for the period prior to 2008 mostly suggest that gold is able to shield investors. Uncertainty measures display a surprising and time-varying relationship with the path of the gold price. While economic policy uncertainty is positively correlated with gold price changes, macroeconomic uncertainty and inflation uncertainty among forecasters are both negatively related to gold price changes.     

How to hedge if the payment date is uncertain?

This paper investigates how firms should hedge price risk when payment dates are uncertain. We derive variance-minimizing strategies and show that the instrument choice is essential for this problem, similar to the choice between a strip and a stack hedge. The first setting concentrates on futures hedges, whereas the second allows for nonlinear derivatives. In both settings, firms should take positions in derivatives with different maturities simultaneously. We present an empirical analysis for commodities and exchange rates, showing that in both settings the optimal strategy clearly outperforms the commonly used heuristic strategies which consider only one hedging instrument at a time.     

Rise of the gold market in China: liberalisation and market development

The Chinese gold market is rapidly rising to global prominence in the recent decades. The paper reviews the history of the gold market in China and its liberalisation process amid the country’s opening to the outside world. Details of the current market structure and its main business are presented. Global impacts of the rise of the Chinese gold market are discussed.     

How does leverage in stock market influence the margin of stock index futures?

In this article, we propose a margin-setting model under the assumption of extreme stock price changes. Specifically, extreme stock price changes are caused by the positive feedback effect of leverage and market impact. By introducing these factors into the futures price changes through a cost-of-carry model for setting the margin of stock index futures, we find that leverage and market impact in stock market are positively correlated with the margin.     

A functional time series analysis of forward curves derived from commodity futures

We study forward curves formed from commodity futures prices listed on the Standard and Poor’s-Goldman Sachs Commodities Index (S&P GSCI) using recently developed tools in functional time series analysis. Functional tests for stationarity and serial correlation suggest that log-differenced forward curves may be generally considered as stationary and conditionally heteroscedastic sequences of functions. Several functional methods for forecasting forward curves that more accurately reflect the time to expiry of contracts are developed, and we found that these typically outperformed their multivariate counterparts, with the best among them using the method of predictive factors introduced by Kargin and Onatski (2008).