企业实现技术跃迁的机会窗口测度

本文在分析机会窗口对推动企业实现技术跃迁作用的基础上,以单个产品在完整生命周期内机会窗口出现的频次、时间以及密度等为数值因子建立了测度模型。研究表明,企业通过对机会窗口相关因子的测度可以适时识别机会窗口,为实现技术跃迁提供阈值条件,从而有助于企业建立技术领先优势。文中以西安车辆厂为例验证了上述观点。     

经理人股票期权：费用观还是利润分配观？——由伊利事件引发的思考

经理人股票期权的价值在于企业剩余索取权进而企业剩余的分享。因此,只有将经理人股票期权确认为企业的利润分配而非现行准则确认的费用,才能在会计上真正反映经理人股票期权的经济实质,消除股票期权费用化的负面影响,从而有助于推动股票期权的实施。     

人力资本为中心的股票期权制度评析

股票期权作为当前人力资本参与企业收益分配的新型分配方式,可谓是一把“双刃剑”。实施股票期权制度,应完善相关的法律和制度规定,实施全方位的内部控制,并利用软契约对股票期权制度加以补充和完善。     

Price–volume relations of DAX companies

This study provides empirical evidence of the joint dynamics between stock returns and trading volume using stock data of DAX companies. Contemporaneous as well as dynamic interactions are investigated for a period from January 1994 to December 2005 on a daily basis. Our results suggest that there is almost no relationship between stock return levels and trading volume in either direction. We find that trading volume is contemporaneously positively related to return volatility. In addition, we establish that lagged return volatility induces trading volume movements. Finally, we examine dependencies in the tails and find no significant support for the hypothesis of the independence of the maximal values of absolute returns and trading volume.

Fundamentals or Managerial Discretion? The Relationship between Accrual Variability and Future Stock Return Volatility

This study extends the theoretical framework of Callen and Segal (2004) and Vuolteenaho (2002) to investigate the association between accrual variability and firm‐level stock return volatility. The empirical evidence supports our prediction that increased uncertainty in current‐period accounting accruals is associated with significantly higher volatility of future stock returns, and the results are valid for measures of both systematic and idiosyncratic volatility. When accrual variability is decomposed into fundamental and discretionary portions, we find that the positive relationship between accrual variability and future stock return volatility is dominated by the fundamental component of accrual variability. Overall, our results suggest that uncertainty reflected in accrual information is subsequently reflected in the fluctuation of future stock returns, and that the predictive content in accruals primarily reflects firms' fundamental uncertainty, rather than any effects of managerial choices and interventions in the accounting process.     

Growth options,macroeconomic conditions,and the cross section of credit risk

This paper develops a structural equilibrium model with intertemporal macroeconomic risk, incorporating the fact that firms are heterogeneous in their asset composition. Compared with firms that are mainly composed of invested assets, firms with growth options have higher costs of debt because they are more volatile and have a greater tendency to default during recession when marginal utility is high and recovery rates are low. Our model matches empirical facts regarding credit spreads, default probabilities, leverage ratios, equity premiums, and investment clustering. Importantly, it also makes predictions about the cross section of all these features.     

Pricing Geometric Asian Options under the CEV Process

Abstract

This paper discusses the pricing of geometric Asian options when the underlying stock follows the constant elasticity of variance (CEV) process. We build a binomial tree method to estimate the CEV process and use it to price geometric Asian options. We find that the binomial tree method for the lognormal case can effectively solve the computational problems arising from the inherent complexities of geometric Asian options when the stock price follows the CEV process. We present numerical results to demonstrate the validity and the convergence of the approach for the different parameter values set in the CEV process.     

Evolving United States stock market volatility: The role of conventional and unconventional monetary policies

Despite the econometric advances of the last 30 years, the effects of monetary policy stance during the boom and busts of the stock market are not clearly defined. In this paper, we use a structural heterogeneous vector autoregressive (SHVAR) model with identified structural breaks to analyse the impact of both conventional and unconventional monetary policies on U.S. stock market volatility. We find that contractionary monetary policy enhances stock market volatility, but the importance of monetary policy shocks in explaining volatility evolves across different regimes and is relative to supply shocks (and shocks to volatility itself). In comparison to business cycle fluctuations, monetary policy shocks explain a greater fraction of the variance of stock market volatility at shorter horizons, as in medium to longer horizons. Our basic findings of a positive impact of monetary policy on equity market volatility (being relatively stronger during calmer stock market periods) are also corroborated by analyses conducted at the daily frequency based on an augmented heterogeneous autoregressive model of realised volatility (HAR-RV) and a multivariate k-th order nonparametric causality-in-quantiles framework. Our results have important implications both for investors and policymakers.     

Market risks that change domestic diversification benefits

We study the options-implied market risks and correlations to identify factors that affect U.S. stock correlations during 2007–2018. We discover that U.S. stock- and bond-market uncertainty, equity tail risk, European equity risk, and global credit risk are dominant contributors to changing correlations. While correlations rise universally with rising U.S. and European stock-market uncertainty, other market risks show diverging effects on correlations in crisis and non-crisis periods. Rising equity tail risk and global credit risk raise correlations in crisis times. Our results disentangle the risks of stock and bond markets that change the domestic stock diversification benefits.     

Economic policy uncertainty,oil price volatility and stock market returns: Evidence from a nonlinear model

This paper investigates the nonlinear relationship between economic policy uncertainty, oil price volatility and stock market returns for 25 countries by applying the panel smooth transition regression model. We find that oil price volatility has a negative effect on stock returns, and this effect increases with economic policy uncertainty. Furthermore, there is pronounced heterogeneity in responses. First, oil-exporting countries whose economies depend more on oil prices respond more strongly to oil price volatility than oil-importing countries. Second, stock returns of developing countries are more susceptible to oil price volatility than that of developed countries. Third, crisis plays a crucial role in the relation between oil price volatility and stock returns.