针对车辆AEB系统失效和误作用场景的研究

本文基于预期功能安全,采用功能分解方法,总结出部分车辆自动紧急制动(AEB)系统失效和误作用场景,并从中选取典型场景作为测试场景,开展不同车型的实车道路试验,总结出AEB系统的缺陷与隐患分类.希望此类研究能为AEB系统失效和误作用测试标准的制定提供参考.     

城镇居民金融资产与不动产财富效应的比较分析

城镇居民两种资产的财富效应呈现三个特点:一是住房资产的财富效应大于金融资产的财富效应;二是两种资产的财富效应差别不大;三是两种资产的财富效应较微弱。这表明:第一,住房对消费具有一定的支撑作用;第二,金融资产增值性不强和股市的波动限制财富效应的发挥;第三,较强的流动性约束制约住房资产的财富效应;第四,消费的过度敏感性使资产财富效应微弱。为了通过财富效应来促进消费,必须维持股市和房地产市场稳定的预期,大力发展金融市场,抑制住房价格的过快增长并促进住房市场平稳发展。     

泡沫前后的政府政策选择

在经济全球化的背景下,金融资本的国际化流动不断加强,促成了国际金融市场的联动性和互相影响程度不断加强.而金融市场的迅速发展和资产证券化程度的提高,使得金融对于经济的渗透程度和影响程度加大.伴随着经济周期的扩张和收缩,相应资产价格的泡沫的形成和破灭的过程也对经济产生巨大的影响,政府在这样的不同周期阶段的政策选择对于平滑经济和金融市场风险显得十分重要.文章作者试图探讨政府在泡沫形成期和泡沫破灭期的理性政策选择.     

Implied integrated variance and hedging

If the volatility is stochastic, stock price returns and European option prices depend on the time average of the variance, i.e. the integrated variance, not on the path of the volatility. Applying a Bayesian statistical approach, we compute a forward-looking estimate of this variance, an option-implied integrated variance. Simultaneously, we obtain estimates of the correlation coefficient between stock price and volatility shocks, and of the parameters of the volatility process. Due to the convexity of the Black–Scholes formula with respect to the volatility, pricing and hedging with Black–Scholes-type formulas and the implied volatility often lead to inaccuracies if the volatility is stochastic. Theoretically, this problem can be avoided by using Hull–White-type option pricing and hedging formulas and the integrated variance. We use the implied integrated variance and Hull–White-type formulas to hedge European options and certain volatility derivatives.     

The influence of relative values of outside director stock options on firm strategic risk from a multiagent perspective

Prior work has examined the effects of absolute levels of outside director stock option grants on risk behavior without recognizing that relative stock option values could differentially affect risk taking. Drawing from the house money effect perspective, we extend this literature by examining how positive deviation from prior outside director option grants values influences firm strategic risk. Additionally we draw from the behavioral agency model and the power literature to develop a multiagent contingency framework suggesting the effect of positive director pay deviation depends on the incentives and power of CEOs reflected in CEO stock ownership and CEO duality, respectively. Our empirical results indicate positive pay deviation has a positive effect on firm risk taking while high ownership and duality independently and jointly weaken this base relationship. Copyright © 2013 John Wiley & Sons, Ltd.     

Pricing of a structured product on the SX5E when the uncertainty of returns is modeled as a log-stable process

This work presents the participation factor and the valuation of a first-generation structured product with European call options on the Eurostoxx, when the uncertainty of the yields is modeled through log-stable processes. The basic statistics of the index yields are also exposed, the α-stable parameters are estimated, and the valuation of the of the structured models is compared through the log-stable and log-Gaussian models using inputs from the bond markets; concluding that investors obtain higher yields than those of the bond market through both models, and that the differences of the yields depend on the participation factor and on the value of the index at the time of liquidation.     

Carry trade strategies based on option-implied information: Evidence from a cross-section of funding currencies

We document carry trade returns based on the moments extracted from options on the underlying currencies. We establish three important results. First, a currency pair is predicted to have greater excess returns if option-implied returns are more volatile, are more left-skewed, and have fatter tails than the returns of other currency pairs. Second, strategies based on option-implied information improve on benchmark strategies based on realized market returns and macroeconomic data. Third, if the option-implied returns of a currency pair are more left-skewed than in the past, anti-carry trades rather than carry trades perform better.     

How much is the gap?—Efficient jump risk-adjusted valuation of leveraged certificates

This paper develops a novel and highly efficient numerical algorithm for the gap risk-adjusted valuation of leveraged certificates. The existing literature relies on Monte Carlo simulations, which are not fast enough to be used in a market-making environment. This is because issuers need to compute thousands of price updates per second. By valuing leveraged certificates as multi-window barrier options, we explicitly model random jumps that occur at known times, such as between the exchange closing and re-opening. Our algorithm combines the one-day transition probability with Simpson’s numerical integration rule. This yields a backward induction scheme which requires a significantly coarser spatial and time grid than finite-difference methods. We confirm its robustness and accuracy through Monte Carlo simulations.     

Decision-making in incomplete markets with ambiguity—a case study of a gas field acquisition

We apply utility indifference pricing to solve a contingent claim problem, valuing a connected pair of gas fields where the underlying process is not standard Geometric Brownian Motion and the assumption of complete markets is not fulfilled. First, empirical data are often characterized by time-varying volatility and fat tails; therefore, we use Gaussian generalized autoregressive score (GAS) and GARCH models, extending them to Student’s t-GARCH and t-GAS. Second, an important risk (reservoir size) is not hedgeable. As a result, markets are incomplete which makes preference free pricing impossible and thus standard option pricing methodology inapplicable. Therefore, we parametrize the investor’s risk preference and use utility indifference pricing techniques. We use Least Squares Monte Carlo simulations as a dimension reduction technique in solving the resulting stochastic dynamic programming problems. Moreover, an investor often only has an approximate idea of the true probabilistic model underlying variables, making model ambiguity a relevant problem. We show empirically how model ambiguity affects project values, and importantly, how option values change as model ambiguity gets resolved in later phases of the projects. We show that traditional valuation approaches will consistently underestimate the value of project flexibility and in general lead to overly conservative investment decisions in the presence of time-dependent stochastic structures.     

Quote inefficiency in options markets

In an arbitrage-free economy with non-zero bid-ask spreads the existence of payoffs whose price is lower than the price of a dominated payoff cannot be discarded in general. However, when the former price corresponds to trivial portfolios which involve buying or selling one unit of the basis assets, its presence, although not an arbitrage, is a severe market anomaly which we refer to as an inefficient quote. In an empirical study, we report evidence that indicates that in options markets both the frequency and the magnitude of these anomalies are substantial and we document puzzling patterns in their behavior.