Bivariate Nonparametric Density Estimation of Stock Prices and Volume

This paper comprehensively investigates the joint movement of stock prices and trading volume of New York and Tokyo stock markets by undertaking nonparametric density estimation. Bivariate nonparametric density estimation has been reported as a powerful tool for revealing complicated relations between two variables. In application to finance, it is important to use a method robust for heavy-tailed densities, since the distributions of asset price changes are known to have heavy tails, and information about sudden and large price changes is contained in the tails. The empirical regularities found in this paper are mostly consistent with previous literature, but partially disagrees with the work of Gallant et al. (1992).     

Financial Flexibility,Bank Capital Flows,and Asset Prices

In our parsimonious general‐equilibrium model of banking and asset pricing, intermediaries have the expertise to monitor and reallocate capital. We study financial development, intraeconomy capital flows, the size of the banking sector, the value of intermediation, expected market returns, and the risk of bank crashes. Asset pricing implications include: a market's dividend yield is related to its financial flexibility, and capital flows should be important in explaining expected returns and the risk of bank crashes. Our predictions are broadly consistent with the aggregate behavior of U.S. capital markets since 1950.     

Rational Asset Prices

The mean, covariability, and predictability of the return of different classes of financial assets challenge the rational economic model for an explanation. The unconditional mean aggregate equity premium is almost seven percent per year and remains high after adjusting downwards the sample mean premium by introducing prior beliefs about the stationarity of the price–dividend ratio and the (non)forecastability of the long–term dividend growth and price–dividend ratio. Recognition that idiosyncratic income shocks are uninsurable and concentrated in recessions contributes toward an explanation. Also borrowing constraints over the investors' life cycle that shift the stock market risk to the saving middle–aged consumers contribute toward an explanation.     

Aggregate Earnings and Asset Prices

A principal-components analysis demonstrates that common earnings factors explain a substantial portion of firm-level earnings variation, implying earnings shocks have substantial systematic components and are not almost fully diversifiable as prior literature has concluded. Furthermore, the principal components of earnings and returns are highly correlated, implying aggregate earnings risks and return risks are related. In contrast to previous studies, the correlation we report between the systematic components of earnings and returns is stable over time. We also show that the earnings factors are priced, in the sense that the sensitivities of securities' returns to the earnings factors explain a significant portion of the cross-sectional variation in returns, even controlling for return risk. This suggests earnings performance is an underlying source of priced risk. Our evidence that the information sets of returns and earnings are jointly determined implies cash flow risk and return risk are not fully separable, and raises the possibility that it is the common variation of earnings and returns that is priced.     

Feedback Effects and Asset Prices

Feedback effects from asset prices to firm cash flows have been empirically documented. This finding raises a question for asset pricing: How are asset prices determined if price affects fundamental value, which in turn affects price? In this environment, by buying assets that others are buying, investors ensure high future cash flows for the firm and subsequent high returns for themselves. Hence, investors have an incentive to coordinate, which may generate self‐fulfilling beliefs and multiple equilibria. Using insights from global games, we pin down investors' beliefs, analyze equilibrium prices, and show that strong feedback leads to higher excess volatility.     

Asset Prices and Exchange Rates

We study the implications of introducing demand shocks and tradein goods into an otherwise standard international asset pricingmodel. Trade in goods gives rise to an additional channel ofinternational propagation—through the terms of trade—absentin traditional single-good models. The inclusion of demand shockshelps overturn many unrealistic implications of existing internationalfinance models in which productivity shocks are the sole sourceof uncertainty. Our model generates a rich set of implicationson how stock, bond, and foreign exchange markets co-move. Wesolve the model in closed-form, which yields a system of equationsthat can be readily estimated empirically. Our estimation validatesthe main predictions of the theory.     

An Investigation of the Effect of the 1990 Reserve Requirement Change on Financial Asset Prices

In 1990, the Federal Reserve reduced reserve requirements on large, nonpersonal time deposits and net Eurocurrency liabilities. In this article we provide evidence on who gained from the reduction in this tax. No evidence is found to suggest that large depositors gained by way of higher yields. Rather, evidence indicates a decline in Eurodollar interest rates relative to other money market rates. Evidence further shows that bank shareholders were recipients of abnormal share price appreciation following the announcement. There is little evidence to indicate that shareholders outside of the banking industry experienced similar abnormal gains.     

资产价格波动影响金融稳定及其传导机制综述

资产价格波动尤其是房价波动,是美国次贷危机爆发的导火索,金融创新作为原因之一,也受到越来越多的关注。关于金融不稳定的内生理论从本质上可以归结于资产价格的波动;资产价格波动通过金融创新、流动性、银行资本金的变动、银行信贷渠道以及微观主体行为五个方面影响金融稳定,构成了资产价格波动影响金融稳定的传导机制。     

Nonparametric Estimation of Expected Shortfall

The expected shortfall is an increasingly popular risk measurein financial risk management and it possesses the desired sub-additivityproperty, which is lacking for the value at risk (VaR). We considertwo nonparametric expected shortfall estimators for dependentfinancial losses. One is a sample average of excessive losseslarger than a VaR. The other is a kernel smoothed version ofthe first estimator (Scaillet, 2004 Mathematical Finance), hopingthat more accurate estimation can be achieved by smoothing.Our analysis reveals that the extra kernel smoothing does notproduce more accurate estimation of the shortfall. This is differentfrom the estimation of the VaR where smoothing has been shownto produce reduction in both the variance and the mean squareerror of estimation. Therefore, the simpler ES estimator basedon the sample average of excessive losses is attractive forthe shortfall estimation.     

关于资产价格与货币政策问题的一些思考

在全球金融危机的大背景下,货币政策是否应该对资产价格膨胀作出反应引起关注。本文对相关理论进行了归纳,并从通货膨胀机理的角度对资产价格与货币政策的关系进行了探讨,提出了建立和完善更加关注资产价格的货币政策框架的建议。     

资产价格波动与银行系统稳定

有关金融危机的理论研究表明,资产价格波动与银行脆弱性之间存在很强的相关性。资产价格波动主要通过信贷风险渠道、市场风险渠道、经纪业务收入渠道、为附属机构注资的风险渠道及“第二回合”渠道等传导渠道影响到银行系统的稳定。发生在斯堪的纳维亚和日本的银行危机证明,资产价格剧烈波动确实会造成严重的银行问题,所以为维持银行系统的稳定,监管当局应该密切关注资产价格可能出现的剧烈下跌对银行部门可能产生的风险并采取应对方法。     

Boom-Bust Phases in Asset Prices and Fiscal Policy Behavior

Boom and bust phases in asset prices have become a pervasive feature of macroeconomic developments in many advanced economies. This paper studies fiscal policy during boom-bust phases in asset prices and draws several conclusions. First, expansions and contractions in economic activity during such boom-bust phases tend to be highly persistent, cyclical turning points are harder to forecast, and the margins of error for output gap estimates can be large. Second, conventional estimates of revenue elasticities seem not to allow an accurate assessment of fiscal stance or the strength of underlying fiscal positions during boom-bust phases. Third, boom-bust phases tend to exacerbate already existing procyclical policy biases, as well as political-economy biases, toward higher spending and public-debt ratios.     

Evaluation Periods and Asset Prices in a Market Experiment

We test whether the frequency of feedback information about the performance of an investment portfolio and the flexibility with which the investor can change the portfolio influence her risk attitude in markets. In line with the prediction of myopic loss aversion (Benartzi and Thaler (1995)), we find that more information and more flexibility result in less risk taking. Market prices of risky assets are significantly higher if feedback frequency and decision flexibility are reduced. This result supports the findings from individual decision making, and shows that market interactions do not eliminate such behavior or its consequences for prices.     

货币政策纳入资产价格目标后能更好地调控经济波动吗——基于金融结构视角的分析

本文通过构建包含金融结构的NK-DSGE模型,分析在不同的金融结构下,包含金融资产价格稳定目标的扩展型货币政策能否更加有效地熨平经济波动.研究表明:(1)相比传统货币政策,包含金融资产价格稳定目标的货币政策不仅能更好地熨平宏观经济波动、缩短波动持续期,还能提升社会福利;(2)在扩展型货币政策框架下,央行需结合不同类型冲击下金融结构与宏观调控变量波动的异质相关性,依据金融结构市场化进程,灵活调整其对各个变量的调控力度;(3)在扩展型货币政策框架下,当经济体系面临非持续性技术冲击、投资边际效率冲击或金融冲击时,金融结构市场化程度越高,社会福利增进效果越好.本文的研究为宏观经济调控政策特别是货币政策决策提供了有益启示,或可为新时期增强宏观经济调控效果、构建兼顾金融稳定和经济稳定的平衡发展路径提供新思路和新抓手.     

How Do Investors' Expectations Drive Asset Prices?

Based on an extension of the process of investors' expectations to stochastic volatility we derive asset price processes in a general continuous time pricing kernel framework. Our analysis suggests that stochastic volatility of asset price processes results from the fact that investors do not know the risk of an asset and therefore the volatility of the process of their expectations is stochastic, too. Furthermore, our model is consistent with empirical studies reporting negative correlation between asset prices and their volatility as well as significant variations in the Sharpe ratio.     

Volatility,the Macroeconomy,and Asset Prices

How important are volatility fluctuations for asset prices and the macroeconomy? We find that an increase in macroeconomic volatility is associated with an increase in discount rates and a decline in consumption. We develop a framework in which cash flow, discount rate, and volatility risks determine risk premia and show that volatility plays a significant role in explaining the joint dynamics of returns to human capital and equity. Volatility risk carries a sizable positive risk premium and helps account for the cross section of expected returns. Our evidence demonstrates that volatility is important for understanding expected returns and macroeconomic fluctuations.     

论金融统计中金融资产的分类调整

本文首先介绍了目前金融统计中金融资产的分类与建议财务会计中的金融资产分类．然后给出建议的金融统计中金融资产的分类调整结果,重点介绍了其中的各个金融资产类型,还针对金融资产流量核算、金融存量核算、金融市场统计等问题提出统一协调的建议。论文最后作了总结,展望了后续研究。     

Local Risk,Local Factors,and Asset Prices

Firm location affects firm risk through local factor prices. We find more procyclical factor prices such as wages and real estate prices in areas with more cyclical economies, namely, high “local beta” areas. While procyclical wages provide a natural hedge against aggregate shocks and reduce firm risk, procyclical prices of real estate, which are part of firm assets, increase firm risk. We confirm that firms located in higher local beta areas have lower industry‐adjusted returns and conditional betas, and show that the effect is stronger among firms with low real estate holdings. A production‐based equilibrium model explains these empirical findings.