The unintended consequences of grouping in tests of asset pricing models

We identify a number of unintended consequences of grouping when the capital asset pricing model is true and when it is false. When the model is true, grouping may cause fundamental problems with the most basic capital asset pricing and cross-sectional regression relationships. For example, with traditional grouping, the market portfolio is super-efficient––unless securities in each group are value weighted. Yet, when the model is grossly false, grouping may cause the model to appear to be absolutely correct. Ironically, the only way this can occur is when securities in each group are value weighted. To make matters worse, when the model is false, the slope of a cross-sectional regression of expected returns on betas fitted to grouped data may be either steeper or flatter than when the regression is fitted to ungrouped data. In other words, grouping may exacerbate the very problem it was meant to alleviate.     

Asset pricing with loss aversion

The use of standard preferences for asset pricing has not been very successful in matching asset price characteristics, such as the risk-free interest rate, equity premium and the Sharpe ratio, to time series data. Behavioral finance has recently proposed more realistic preferences such as those with loss aversion. Research is starting to explore the implications of behaviorally founded preferences for asset price characteristics. Encouraged by some studies of Benartzi and Thaler [1995. Myopic loss aversion and the equity premium puzzle. The Quarterly Journal of Economics 110 (1), 73–92] and Barberis et al. [2001. Prospect theory and asset prices. Quarterly Journal of Economics CXVI (1), 1–53] we study asset pricing with loss aversion in a production economy. Here, we employ a stochastic growth model and use a stochastic version of a dynamic programming method with an adaptive grid scheme to compute the above mentioned asset price characteristics of a model with loss aversion in preferences. As our results show using loss aversion we get considerably better results than one usually obtains from pure consumption-based asset pricing models including the habit formation variant.     

On the Sources of Inflation in Kenya: A Model‐Based Approach

We develop a semi‐structural new‐Keynesian open‐economy model – with separate food and non‐food inflation dynamics to study the sources of inflation in Kenya in recent years. To do so, we filter international and Kenyan data (on output, inflation and its components, exchange rates and interest rates) through the model to recover a model‐based decomposition of most variables into trends (or potential values) and temporary movements (or gaps) – including for the international and domestic relative price of food. We use the filtration exercise to recover the sequence of domestic and foreign macroeconomic shocks that account for business cycle dynamics in Kenya over the last few years, with a special emphasis on the various factors (international food prices, monetary policy) driving inflation. We find that while imported food price shocks have been an important source of inflation, both in 2008 and more recently, accommodating monetary policy has also played a role, most notably through its effect on the nominal exchange rate. We also discuss the implications of this exercise for the use of model‐based monetary policy analysis in sub‐Saharan African countries.     

Incentive Contracts,Market Risk,and Cost of Capital

Should incentive contracts expose the agent to market‐wide shocks? Counterintuitively, I show that market risk cannot be filtered out from the compensation and managed independently by the agent. Under plausible risk preferences, the principal should offer a contract in which performance pay increases following a favorable market shock. In the aggregate, however, the effect of market risk on individual contracts diversifies away and the agency problem does not directly affect the cost of capital. The analysis suggests caution in interpreting changes in cost of capital in terms of the stewardship role of accounting information.     

Segmented asset markets and optimal exchange rate regimes

This paper revisits the issue of the optimal exchange rate regime in a flexible price environment. The key innovation is that we analyze this question in the context of environments where only a fraction of agents participate in asset market transactions (i.e., asset markets are segmented). Under this friction alternative exchange rate regimes have different implications for real allocations in the economy. In the context of this environment we show that flexible exchange rates are optimal under monetary shocks and fixed exchange rates are optimal under real shocks.     

我国高速公路建设融资问题初探

高速公路建设的迅速发展 ,使得项目融资矛盾日益突出。一方面是以财政拨款方式为主的融资渠道无法满足高速公路建设的需要 ;一方面是大量民间资本和国际资本无法顺畅地进入国内高速公路建设市场。文章提出并论证了运用BOT融资和资产证券化 (ABS)方式 ,通过有效地引入国际资本和拓宽民间资本的投资渠道 ,来解决高速公路的资金供需矛盾 ,同时提出加强和完善相应的法律法规是保证BOT融资和资产证券化顺利实施的关键所在。     

利率变动周期与商业银行绩效的实证研究

利率风险的计量、评估、监控是银行市场风险管理的重要内容。科学分析利率波动与银行收益之间关系,进而了解银行资产负债期限特征及利率风险管理水平,对实现我国商业银行资产负债管理科学决策,提升利率风险管理水平意义重大。本文采用Flannery的部分调整模型对我国上市银行的利率风险管理进行长时间窗口实证分析,结果表明:样本银行呈“借短贷长”的资产负债期限特征,利率变动期内其资产负债管理并未为银行带来实质收益,利率风险管理水平有待提高。     

New imported inputs,new domestic products

We study the relationship between new imported inputs and the introduction of new domestic products. To this purpose, we assemble a novel data set covering 25 European countries over 1995–2007 and containing information on domestic production and bilateral trade for the universe of goods. We develop a procedure to identify new imported inputs and new domestic products, while dealing with the complications raised by the yearly changes in the commodity classifications. We augment these data with information on prices and novel estimates of quality. We organize the empirical analysis around a version of the endogenous growth model with expanding variety, in which inputs are allowed to be heterogeneous in terms of quality. In line with this framework, we find three main results. First, new imported inputs have a strong positive effect on product creation in Europe. Second, they work through a combination of mechanisms, allowing countries to benefit from both wider and better sets of intermediate products. Finally, new imported inputs give a substantial boost to output growth in manufacturing.     

Socially responsible investing and stock performance: New empirical evidence for the US and European stock markets

This paper empirically examines the theoretically ambivalent relationship between socially responsible investing (SRI) and stock performance. It contributes to the existing literature by considering both the US and the entire European stock markets and by using consistent world-wide corporate sustainability performance data. Our portfolio analysis from 1998 to 2009 is based on the common four-factor model according to Carhart (1997), which comprises market return, size, value, and momentum factors. We show for the US and the European stock markets that SRI is associated with large-sized firms. The insignificant abnormal stock returns for SRI in both regions are the main result of our paper. Therefore, our study supports the view that SRI stocks are correctly priced by market participants, although we cannot rule out that a corresponding mispricing has existed before the beginning of our observation period in 1998.     

Pricing assets with stochastic cash-flow growth

We model the time series behavior of dividend growth rates, as well as the profitability rate, with a variety of autoregressive moving-average processes, and use the capital asset pricing model (CAPM) to derive the appropriate discount rate. One of the most important implications of this research is that the rate of return beta changes with the time to maturity of the expected cash flow, and the degree of mean reversion displayed by the growth rate. We explore the consequences of this observation for three different strands of the literature. The first is for the value premium anomaly, the second for stock valuation and learning about long-run profitability, and the third is for the St. Petersburg paradox. One of the most surprising results is that the CAPM implies a higher rate of return beta for value stocks than growth stocks. Therefore, value stocks must have higher expected returns, and this is what is required theoretically in order to explain the well-known value premium anomaly.