Open economy and financial burden of corruption: theory and application to Asia

We discuss why corruption remains high and show that corruption contributes to the Banking distress and to the rapid transmission across international stock and currency markets. Undeveloped ‘derivative securities’ markets make the risk from stress-induced volatility difficult to manage. Vinod’s (1999) closed economy model is extended to indicate the asymmetry of ‘home bias’ and the effect of corruption on the value at risk (VaR). Our theory predicts that capital flight controls will be many, foreign direct investment (FDI) will be low and cost of capital will be high in corrupt developing countries, which is supported by Asian data. We include some policy recommendations regarding financial institutions and markets.     

Short sales, price pressure, and the stock price response to convertible bond calls

The announcement of a convertible bond call is associated with an average contemporaneous abnormal stock price decline of 1.75% and an ensuing price recovery in the conversion period. A price fall and the subsequent recovery suggest price pressure as the explanation for the announcement effect. However, in general the option to convert is not exercised early and hence, the increase in the number of shares outstanding does not occur at the announcement date. Instead, this paper argues and provides evidence that hedging-induced short selling causes at least part of the short-run price pressure.     

汇率风险对冲如何影响企业并购行为——基于自由现金流的视角

本文基于2001—2019年上市公司年报中关于外汇衍生品的使用信息,研究发现,使用外汇衍生品的上市公司相比未使用的公司发起并购的概率更低,但并购的市场和经营绩效有所提高。主要原因在于,中国上市公司进行并购通常以企业自有资金进行现金支付,外汇衍生品的使用大幅降低了公司出于预防性动机而持有的现金,从而降低了公司发起并购的概率。此外,进行汇率风险对冲可避免公司因持有大量自由现金流而发生的过度投资行为,从而提高了公司的投资效率。总体而言,使用外汇衍生品进行汇率风险对冲可使上市公司更注重并购质量而非并购数量,从而实现“少而精”的投资策略。本文研究对进一步厘清企业使用外汇衍生品的相关影响提供了一定参考。     

Assessing efficiency and investment opportunities in commodities: A time series and portfolio simulations approach

This paper investigates the informational efficiency hypothesis in the short and long term for four major commodity markets (oil, gas, electricity, and coal) from January 1997 to January 2016. Unlike previous studies, we provide a more concise comparative analysis by focusing on different classes of commodities for a large sample, including 5 developed and 3 emerging regions and covering 46 countries. We apply different parametric and non-parametric econometric tests. Our study provides two interesting findings. First, we show that commodity markets are informationally inefficient in the short term. Our portfolio simulations highlight that commodities might provide “good” investment opportunities, but those opportunities vary according to commodity class and regions. Second, we show that most commodity markets become informationally efficient in the long term, thereby reducing investors' interest for the duration. Thus, commodity markets might be used to hedge investor’s portfolios, particularly for speculators and chartists in the short term, while these investments might not be appealing in these markets in the long term.     

Pure jump models for pricing and hedging VIX derivatives

Recent non-parametric statistical analysis of high-frequency VIX data (Todorov and Tauchen, 2011) reveals that VIX dynamics is a pure jump semimartingale with infinite jump activity and infinite variation. To our best knowledge, existing models in the literature for pricing and hedging VIX derivatives do not have these features. This paper fills this gap by developing a novel class of parsimonious pure jump models with such features for VIX based on the additive time change technique proposed in Li et al., 2016a, Li et al., 2016b. We time change the 3/2 diffusion by a class of additive subordinators with infinite activity, yielding pure jump Markov semimartingales with infinite activity and infinite variation. These processes have time and state dependent jumps that are mean reverting and are able to capture stylized features of VIX. Our models take the initial term structure of VIX futures as input and are analytically tractable for pricing VIX futures and European options via eigenfunction expansions. Through calibration exercises, we show that our model is able to achieve excellent fit for the VIX implied volatility surface which typically exhibits very steep skews. Comparison to two other models in terms of calibration reveals that our model performs better both in-sample and out-of-sample. We explain the ability of our model to fit the volatility surface by evaluating the matching of moments implied from market VIX option prices. To hedge VIX options, we develop a dynamic strategy which minimizes instantaneous jump risk at each rebalancing time while controlling transaction cost. Its effectiveness is demonstrated through a simulation study on hedging Bermudan style VIX options.     

Local institutional shareholders and corporate hedging policies

This paper examines the effectiveness of monitoring function from institutional investors on corporate hedging strategy in Taiwan over the period from 2005 to 2012. The empirical results show that institutional investors are effective monitors of corporate risk management to enhance the probability and extent of hedging. In addition, the monitoring function from institutional investors is effective for mitigating the risk-shifting problem of high leveraged firms. Moreover, local institutional investors play more important role in monitoring distressed firm's magnitude of hedging than foreign institutional investors. These results are robust to the consideration of endogeneity, selection bias, and industrial difference. This is the first empirical evidence in the literature regarding the monitoring effect of institutional investors on risk management strategy from the angle of monitoring costs.     

Pricing the hedging factor in the cross-section of stock returns

We investigate the role of investors’ net hedging strategy (factor) in predicting stock returns and pricing the cross-section of individual stocks and equity portfolios. We estimate stock exposure to changes in the hedging factor and show that the hedging premium is driven by outperformance of stocks with large positive net hedging betas, which explains their higher average returns. We find the positive hedging premium indicates risk-averse investors demand extra compensation to hold stocks with higher equity risk premiums, and they are themselves willing to pay higher prices for stocks with positive hedging betas.     

期权加油卡的产品设计、定价和套期保值研究

在消费者被迫接受成品油价格风险、石油零售商零售业竞争日益激烈和我国成品油定价机制矛盾日益突出的背景下,本文提出石油零售商可发行期权加油卡来实现下面三个目标:(1)为消费者提供成品油价格风险管理的工具;(2)为石油零售商提供一种新的锁定客户的营销手段;(3)推进成品油的市场化改革。本文首先设计期权加油卡,然后采用蒙特卡罗模拟方法对加油卡定价,接着分析石油零售商发行加油卡的风险的套期保值损益,最后讨论期权加油卡的相关实际操作问题。     

PDE approach to valuation and hedging of credit derivatives

This paper presents a PDE approach in a Markovian setting to hedge defaultable derivatives. The arbitrage price and the hedging strategy for an attainable contingent claim are described in terms of solutions of a pair of coupled PDEs. For some standard examples of defaultable claims, we provide explicit formulae for prices and hedging strategies.     

Corporate cash flow and stock price exposures to foreign exchange rate risk

This paper estimates the foreign exchange rate exposure of 6917 U.S. nonfinancial firms on the basis of stock prices and corporate cash flows. The results show that several firms are significantly exposed to at least one of the foreign exchange rates Canadian Dollar, Japanese Yen and Euro, and significant exposures are more frequent at longer horizons. The percentage of firms for which stock price and earnings exposures are significantly different is relatively low, though it increases with time horizon. Overall, the impact of exchange rate risk on stock prices and cash flows is similar and determined by a related set of economic factors.