Order preserving functions and generalized convexity

In order to better understand the monotonicity properties which characterize the gradient of pseudoconvex and quasi convex funzions, psedomonotonicity and quasi monotonicity can be introduced. A quite different approach is proposed in this paper, by defining new order relations, whose preservation leads precisely to several kinds of pseudoconvexity and quasi convexity. Some general properties of order preservation are proved; they are useful to state necessary and sufficient conditions of monotonicity for particular orders related with generalized convexity.     

亚洲金融合作的研究现状、发展历程与路径选择

为了应对经济区域化和金融危机的冲击以及区域货币合作的挑战,亚洲各国走上了金融合作之路.目前国内外对金融合作的研究主要集中在四个方面.亚洲金融合作在"清迈协议"、历次政府首脑会议以及财长银行行长会议的框架下已经取得了初步成效,但期待进一步改进与完善.亚洲金融合作应实施渐进式分布交叉的多重货币合作、宏观经济政策协调趋同发展模式.     

Vertical Relationships in the Automotive Industry: Do They Matter?

In this note we examine how vertical relationships are related to the efficiency of the operations in the automotive production chain. We first provide an overview of the nature of supplier arrangements by comparing current practices in the countries Japan, US, and Germany. Current best practices show that vertical linkages in the automotive industry have shifted away from simple market transactions and now involve closer long-term interactions coupled however with subtle incentive elements. We outline the economic issues which are present in vertical relationships and include a brief account of differing theoretical perspectives. Then, we use a refined methodology to measure productivity at the industry level for the supplier industries automotive parts and metalworking and for the final assembly industry. It turns out that Japanese industries achieve the highest productivity level at the supplier and at the assembly level. We interpret the empirical results and relate the differences in vertical arrangemen s with the efficiency of both parts in the relation.     

Incorrect Inferences When Using Residuals as Dependent Variables

We analyze a procedure common in empirical accounting and finance research where researchers use ordinary least squares to decompose a dependent variable into its predicted and residual components and use the residuals as the dependent variable in a second regression. This two‐step procedure is used to examine determinants of constructs such as discretionary accruals, real activities management, discretionary book‐tax differences, and abnormal investment. We show that the typical implementation of this procedure generates biased coefficients and standard errors that can lead to incorrect inferences, with both Type I and Type II errors. We further show that the magnitude of the bias in coefficients and standard errors is a function of the correlations between model regressors. We illustrate the potential magnitude of the bias in accounting research in four commonly used settings. Our results indicate significant bias in many of these settings. We offer three solutions to avoid the bias.     

Uncertainty,Financial Frictions,and Nominal Rigidities: A Quantitative Investigation

Are uncertainty shocks a major source of business cycle fluctuations? This paper studies the effect of a mean preserving shock to the variance of aggregate total factor productivity (macro‐uncertainty) and to the dispersion of entrepreneurs' idiosyncratic productivity (micro‐uncertainty) in a financial accelerator dynamic stochastic general equilibrium model with sticky prices. It explores the different mechanisms through which uncertainty shocks are propagated and amplified. The time‐series properties of macro‐ and micro‐uncertainty are estimated using U.S. aggregate and firm‐level data, respectively. While surprise increases in micro‐uncertainty have a larger impact on total output than macro‐uncertainty, these can only account for a small (but nontrivial) share of output volatility.     

Beating market expectations and the pricing of firms’ probability of default

This study explores the impact of beating analysts' forecasts on investors' perceptions about firms' default probability. The information contained in analysts’ forecasts, both earnings and revenues, provides additional information to investors in pricing CDSs. While previous research has focused on the impact of beating analysts’ earnings forecasts, this study shows that firms that beat analysts' revenue forecasts also experience, on average, a decrease in the CDS premium around the earnings announcement date. This study also documents that the effect is stronger when firms beat/miss both earnings and revenue forecasts. When firms beat (miss) earnings and miss (beat) revenues, the effect of earnings is the dominant signal. These effects are stronger for firms with high levels of default risk.     

Nonparametric estimation of conditional VaR and expected shortfall

This paper considers a new nonparametric estimation of conditional value-at-risk and expected shortfall functions. Conditional value-at-risk is estimated by inverting the weighted double kernel local linear estimate of the conditional distribution function. The nonparametric estimator of conditional expected shortfall is constructed by a plugging-in method. Both the asymptotic normality and consistency of the proposed nonparametric estimators are established at both boundary and interior points for time series data. We show that the weighted double kernel local linear conditional distribution estimator has the advantages of always being a distribution, continuous, and differentiable, besides the good properties from both the double kernel local linear and weighted Nadaraya–Watson estimators. Moreover, an ad hoc data-driven fashion bandwidth selection method is proposed, based on the nonparametric version of the Akaike information criterion. Finally, an empirical study is carried out to illustrate the finite sample performance of the proposed estimators.     

A tale of two prices: Liquidity and asset prices in multiple markets

This paper investigates the liquidity effect in asset pricing by studying the liquidity–premium relationship of an American depositary receipt (ADR) and its underlying share. Using the [Amihud, Yakov, 2002. Illiquidity and stock returns: cross-section and time series effects. Journal of Financial Markets 5, 31–56] measure, the turnover ratio and trading infrequency as proxies for liquidity, we show that a higher ADR premium is associated with higher ADR liquidity and lower home share liquidity, in terms of changes in these variables. We find that the liquidity effects remain strong after we control for firm size and a number of country characteristics, such as the expected change in the foreign exchange rate, the stock market performance, as well as several variables measuring the openness and transparency of the home market.     

Effective fair pricing of international mutual funds

We propose a new methodology to provide fair prices of international mutual funds by adjusting prices at the individual security level using a comprehensive and economically relevant information set. Stepwise regressions are used to endogenously determine the stock-specific optimal set of factors. Using 16 synthetic funds whose characteristics are extracted from 16 corresponding actual US-based Japanese mutual funds, we demonstrate that our method estimates fund prices significantly more accurately than existing methods. Although existing fair-pricing methods provide an improvement over the current practice of simply using Japanese market closing prices, they are still highly vulnerable to exploitation by market-timers. By contrast, our method is the most successful in preventing such strategic exploitation since no competing method can profit from our stated prices.