Trading Volume: Implications of an Intertemporal Capital Asset Pricing Model

We derive an intertemporal asset pricing model and explore its implications for trading volume and asset returns. We show that investors trade in only two portfolios: the market portfolio, and a hedging portfolio that is used to hedge the risk of changing market conditions. We empirically identify the hedging portfolio using weekly volume and returns data for U.S. stocks, and then test two of its properties implied by the theory: Its return should be an additional risk factor in explaining the cross section of asset returns, and should also be the best predictor of future market returns.     

A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks

We propose a nonparametric method for estimating the pricing formula of a derivative asset using learning networks. Although not a substitute for the more traditional arbitrage-based pricing formulas, network-pricing formulas may be more accurate and computationally more efficient alternatives when the underlying asset's price dynamics are unknown, or when the pricing equation associated with the no-arbitrage condition cannot be solved analytically. To assess the potential value of network pricing formulas, we simulate Black-Scholes option prices and show that learning networks can recover the Black-Scholes formula from a two-year training set of daily options prices, and that the resulting network formula can be used successfully to both price and delta-hedge options out-of-sample. For comparison, we estimate models using four popular methods: ordinary least squares, radial basis function networks, multilayer perceptron networks, and projection pursuit. To illustrate the practical relevance of our network pricing approach, we apply it to the pricing and delta-hedging of S&P 500 futures options from 1987 to 1991.     

Why India is mainly engaged in offshore service activities,while China is disproportionately engaged in manufacturing?

We extend the model of Antràs and Helpman (Antràs, P., Helpman, E., 2004. Global Sourcing. Journal of Political Economy 112(3), 552–580) by incorporating the merits of Zhang and Markusen (Zhang, K.H., Markusen, J.R., 1999. Vertical Multinationals and Host-country Characteristics. Journal of Development Economics 59(2), 233–252.) to demonstrate why China has been so successful in disproportionately attracting foreign offshore manufacturing activities, while India has been engaged mainly in offshore service activities. We argue that the host country's industry-specific technology capabilities make the difference in FDI composition between China and India. In addition to incomplete contract frictions, the host country's technological capabilities, which affect technology transfer costs, are essential to FDI inflows. We also find that, after excluding overseas Chinese investment, India is almost on par with China in terms of the market size it offers to marketing-seeking FDI.     

Insider Trading and Voluntary Disclosures

We hypothesize that insiders strategically choose disclosure policies and the timing of their equity trades to maximize trading profits, subject to the litigation costs associated with disclosure and insider trading. Accounting for endogeneity between disclosures and trading, we find that when managers plan to purchase shares, they increase the number of bad news forecasts to reduce the purchase price. In addition, this relation is stronger for trades initiated by chief executive officers than for those initiated by other executives. Confirming this strategic behavior, we find that managers successfully time their trades around bad news forecasts, buying fewer shares beforehand and more afterwards. We do not find that managers adjust their forecasting activity when they are selling shares, consistent with higher litigation concerns associated with insider sales. Overall, our evidence suggests that insiders do exploit voluntary disclosure opportunities for personal gain, but only selectively, when litigation risk is sufficiently low.     

Do Declines in Bank Health Affect Borrowers’ Voluntary Disclosures? Evidence from International Propagation of Banking Shocks

I examine whether declines in banks’ financial health affect their borrowers’ disclosures. Prior studies indicate that, in relationship lending, banks and borrowers rely on private communication, rather than public disclosures, to resolve information asymmetries. When banking relationships are threatened, borrowers must turn to new funding sources, inducing them to reconsider their disclosure policies. This paper predicts that borrowers, whose banking relationships are threatened by declining bank health, change their public disclosures of forward‐looking information. Using the emerging‐market financial crises in the late 1990s as shocks to the health of certain U.S. banks, I find that affected banks’ U.S. borrowers increase both the quantity and informativeness of their management forecasts following these shocks compared to borrowers of unaffected banks. The results are similar using conference calls or the length of the Management's Discussion and Analysis section as alternative proxies for voluntary disclosure. Overall, these results provide new insights into the impact of availability of relationship lending on firms’ disclosure choices.     

Implementing Option Pricing Models When Asset Returns Are Predictable

The predictability of an asset's returns will affect the prices of options on that asset, even though predictability is typically induced by the drift, which does not enter the option pricing formula. For discretely-sampled data, predictability is linked to the parameters that do enter the option pricing formula. We construct an adjustment for predictability to the Black-Scholes formula and show that this adjustment can be important even for small levels of predictability, especially for longer maturity options. We propose several continuous-time linear diffusion processes that can capture broader forms of predictability, and provide numerical examples that illustrate their importance for pricing options.     

亏损上市公司是否会在第四季度平滑利润?

西方学者认为企业管理人员有平滑利润、降低收益波动性以此来取悦股东的动机,我们选取中国亏损上市公司作为样本,对其是否在第四季度平滑利润进行实证研究,结果发现这些亏损公司并未在第四季度平滑利润,相反他们更倾向于在第四季度“洗一个大澡“,大亏一把,这样为下一年度扭亏为盈做好准备,进一步的研究同时表明,亏损越严重的企业在第四季度越倾向于“洗大澡“,这与中国上市公司目前的公司治理、资本市场的运作效率以及证监会对亏损公司的管理规定不无关系。