An event time study of the price reaction to large retail trades

This paper analyzes large retail trades using an event study approach. A major finding in studies of this nature is an immediate reversal on the trade subsequent to the large transaction, for both large purchases and large sales. This reversal is inconsistent with the overwhelming majority of previous findings which show a stock price continuation following purchases to the close of trading. We confirm the reversals first using transaction prices, and then show that continuations follow both large purchases and sales when quote data is used. These large trades do not lead to a fundamental change in stock price volatility. We conclude that the transaction price reversal is driven by natural bid-ask bounce around large purchases and large sales.     

Retail investors’ trading and stock market liquidity

The paper investigates the relation between retail investors’ participation in trading and aggregate stock market liquidity. The findings show a positive and significant relation between retail investors’ trading and stock market liquidity. Examination of the determinants of retail investors’ trading reveals that, on average, retail investors with more diversified trading activity tend to trade when liquidity is higher, the frequency of their arrival to the market is not affected by the level of liquidity, and retail investors are willing to trade at a lower liquidity level as sellers than as buyers. Moreover, retail investors’ trading does not create price noise at the aggregate market level. Overall, the evidence suggests that retail investors contribute to market quality.     

Monetary policy and stock prices in small open economies: Empirical evidence for the new EU member states

This study presents evidence on the effect of domestic and Euro Area monetary policy on stock prices in four new EU member states of Central Europe and the main determinants of stock price volatility, estimating structural vector autoregressive models identified with short-run restrictions. We find that stock prices in the considered new EU member states are more sensitive to changes in the Euro Area interest rate than to the domestic one. Moreover, the bulk of stock price volatility in these countries is due to shocks related to exchange rate and Euro Area monetary policy. Overall, we find that local stock markets are more sensitive to external shocks than to domestic ones.     

Union status of young men in Britain: a decade of change

Previous empirical studies of individual union status in Britain have been cross‐sectional. In contrast, we use longitudinal data from the National Child Development Study, to estimate the determinants of male trade union membership over the period 1981–1991. As suggested by union theories, we find that it is important to control for unobserved individual heterogeneity, and our preferred model allows for correlation of individual heterogeneity with observable variables. Our estimates reveal that the observed decline in very large workplaces, and the contraction of the public sector, explain about one third of the predicted decline in union membership over the period. Copyright © 2000 John Wiley & Sons, Ltd.     

EURO CORPORATE BOND RISK FACTORS

This paper investigates the determinants of credit spread changes in euro‐denominated bonds. We adopt a factor model framework, inspired by the credit risk structural approach, as credit spread changes can be easily viewed as an excess return on corporate bonds over Treasury bonds. We try to assess the relative importance of market and idiosyncratic factors as an explanation of movements in credit spreads. We adopt a heterogeneous panel with a multifactor error model and propose a two‐step estimation procedure, which yields consistent estimates of unobserved factors. The analysis is carried out with a panel of monthly redemption yields on a set of corporate bonds for a time span of 3 years. Our results suggest that the euro corporate market is driven by observable and unobservable factors. The unobservable factors are identified through a consistent estimation of individual and common observable effects. The empirical results suggest that an unobserved common factor has a significant role in explaining the systematic changes in credit spreads. However, in contrast to evidence regarding US credit spread changes, it cannot be identified as a market factor. Copyright © 2011 John Wiley & Sons, Ltd.     

Repeat Purchase amid Rapid Quality Improvement: Structural Estimation of Demand for Personal Computers

This paper estimates a structural model of demand for the personal computer (PC) by repeat purchasers. Taking advantage of a large data set on household-level PC purchases, the econometric model uses variation in PC holdings among PC owners to identify households' marginal values of quality improvements. The analysis only requires data on a cross-section of households along with observed PC offerings over time, and accounts for stock effects, forward-looking behavior, and large amounts of household heterogeneity. The estimates allow us to measure sensitivity to long-term and short-term price and technology changes, as well as consumer welfare changes from technological improvements. The results show a large variation in marginal values for PC quality across households, and that failing to account for forward-looking behavior results in biased estimates and a poorer fit to the data. Incorporating stock effects proves especially important because, for the data used here, the model's parameters are not only biased but also virtually impossible to pin down without them. The results also show that price elasticity is approximately 25% higher in the short term compared to the long term, and technology elasticity is approximately 35% higher in the short term compared to the long term. Furthermore, welfare measurements are significantly underestimated when using a model that does not account for forward-looking behavior. Finally, the model is extended to include first-time purchasers. The results show similar patterns, but should be interpreted with much caution owing to the likely presence of significant unobserved heterogeneity between new purchasers and repeat purchasers.     

House prices and consumer welfare

We develop a new approach to measuring changes in consumer welfare due to changes in the price of owner-occupied housing. In our approach, an agent's welfare adjustment is defined as the transfer required to keep expected discounted utility constant given a change in current house prices. We demonstrate that, up to a first-order approximation, there is no aggregate change in welfare due to price increases in the existing housing stock. This follows from a simple market clearing condition where capital gains experienced by sellers are exactly offset by welfare losses to buyers. We show that this result holds (approximately) even in a model that accounts for changes in consumption and investment plans prompted by current house price changes. There can, however, be changes in welfare due to additions to the stock of housing, or to changes in the price of renovating and upgrading the existing stock of housing. For the United States, we estimate the welfare cost of house price appreciation to be an average of $127 per household per year over the 1984–1998 period.     

The role of observed and unobserved heterogeneity in the duration of unemployment

This paper studies the degree to which observable and unobservable worker characteristics account for the variation in the aggregate duration of unemployment. I model the distribution of unobserved worker heterogeneity as time varying to capture the interaction of latent attributes with changes in labor-market conditions. Unobserved heterogeneity is the main explanation for the duration dependence of unemployment hazards. Both cyclical and low-frequency variations in the mean duration of unemployment are mainly driven by one subgroup: workers who, for unobserved reasons, stay unemployed for a long time. In contrast, changes in the composition of observable characteristics of workers have negligible effects.     

Valuation ratios and long‐horizon stock price predictability

Using annual data for 1872–1997, this paper re‐examines the predictability of real stock prices based on price–dividend and price–earnings ratios. In line with the extant literature, we find significant evidence of increased long‐horizon predictability; that is, the hypothesis that the current value of a valuation ratio is uncorrelated with future stock price changes cannot be rejected at short horizons but can be rejected at longer horizons based on bootstrapped critical values constructed from linear representations of the data. While increased statistical power at long horizons in finite samples provides a possible explanation for the pattern of predictability in the data, we find via Monte Carlo simulations that the power to detect predictability in finite samples does not increase at long horizons in a linear framework. An alternative explanation for the pattern of predictability in the data is nonlinearities in the underlying data‐generating process. We consider exponential smooth‐transition autoregressive models of the price–dividend and price–earnings ratios and their ability to explain the pattern of stock price predictability in the data. Copyright © 2005 John Wiley & Sons, Ltd.     

The lag structure of option price

The price of common stock warrants do not adjust immediately to changes in common stock prices. This lag is inconsistent with the ‘efficient market’ hypothesis. Based on daily closing prices this lag was measured and found to be a combination of the adjustment to stock price and to the adjustment of ‘other’ variables, i.e., positive serially correlated disturbance terms. A single equation model simultaneously estimating the parameters of the serial correlation and the coefficients of the lagged stock price indicate a substantial deviation from efficiency. Various simple strategies designed to exploit this lag are then tested.     

Trade credit financing and stock price crash risk

This study investigates the association between trade credit financing and stock price crash risk within China's context. We find that firms using more trade credit financing have significantly lower future stock price crash risk. This negative association is more pronounced for firms with greater information asymmetry and for firms located in less developed financial markets. This finding is robust to the endogeneity concern, alternative measures of stock price crash risk, and the inclusion of other factors identified in prior studies that might affect stock price crash risk. Further evidence suggests that both the monitoring mechanism and the disclosure mechanism drive the documented relation. Our study suggests that access to trade credit can significantly reduce the likelihood of crash risk in a country like China with less developed formal bank financing. Our study also suggests that investors can effectively avoid stock price crash risk by using the trade credit information disclosed in financial statements.     

Fixed effects demeaning in the presence of interactive effects in treatment effects regressions and elsewhere

The present paper shows that cross-section demeaning with respect to time fixed effects is more useful than commonly appreciated, in that it enables consistent and asymptotically normal estimation of interactive effects models with heterogeneous slope coefficients when the number of time periods, T, is small and only the number of cross-sectional units, N, is large. This is important when using OLS but also when using more sophisticated estimators of interactive effects models whose validity does not require demeaning, a point that to the best of our knowledge has not been made before in the literature. As an illustration, we consider the problem of estimating the average treatment effect in the presence of unobserved time-varying heterogeneity. Gobillon and Magnac (2016) recently considered this problem. They employed a principal components-based approach designed to deal with general unobserved heterogeneity, which does not require fixed effects demeaning. The approach does, however, require that T is large, which is typically not the case in practice, and the results reported here confirm that the performance can be extremely poor in small-T samples. The exception is when the approach is applied to data that have been demeaned with respect to fixed effects.     

中国对美国的贸易成本变动及影响因素研究

作为影响国际交换能否发生的重要因素,贸易成本已成为国际贸易研究的重要领域。在采用Novy模型就1995年至2012年中国对美国的贸易成本进行有效测度的基础上,对影响贸易成本变动的多种因素进行分析,结果显示：中国对美国贸易成本总体上呈现波浪式下降趋势;人民币过快升值会对贸易成本的降低产生不利影响;中国商业环境改善、进口关税水平降低等因素有助于降低贸易成本;原油价格变动对贸易成本的影响不大;FDI、美国进口关税水平与中美贸易成本之间不存在长期均衡关系。基于进一步分析发现,中国对美国贸易成本还有下降的空间,中国应充分挖掘贸易成本下降的途径,以进一步提高出口商品的竞争力。     

The impact of capacity expansion on the market value of the firm

This paper empirically investigates the impact of capacity expansion decisions on the market value of the firm. Event study methodology is used to estimate the abnormal change in stock prices around capacity expansion decision announcements. On the day of the announcement, the magnitude of the price change is abnormally high, evidenced by a significantly positive mean standardized square of the abnormal change (Beaver's U-statistic). We also analyze factors that we could affect the direction and magnitude of the abnormal change in the stock prices. We find that the change in price on the day of the announcement is positively and significantly related to the real growth rate of the industry, and negatively and significantly related to the variability of demand. A negative relationship between the price change and industry capacity utilization is also found which can have important implications for companies which follow the wait-and-see approach to capacity expansion decisions. We also find management ownership to be a significant predictor in explaining stock price changes around these announcements.     

To pool or not to pool: What is a good strategy for parameter estimation and forecasting in panel regressions?

This paper considers estimating the slope parameters and forecasting in potentially heterogeneous panel data regressions with a long time dimension. We propose a novel optimal pooling averaging estimator that makes an explicit trade‐off between efficiency gains from pooling and bias due to heterogeneity. By theoretically and numerically comparing various estimators, we find that a uniformly best estimator does not exist and that our new estimator is superior in nonextreme cases and robust in extreme cases. Our results provide practical guidance for the best estimator and forecast depending on features of data and models. We apply our method to examine the determinants of sovereign credit default swap spreads and forecast future spreads.     

Simple solutions to the initial conditions problem in dynamic,nonlinear panel data models with unobserved heterogeneity

I study a simple, widely applicable approach to handling the initial conditions problem in dynamic, nonlinear unobserved effects models. Rather than attempting to obtain the joint distribution of all outcomes of the endogenous variables, I propose finding the distribution conditional on the initial value (and the observed history of strictly exogenous explanatory variables). The approach is flexible, and results in simple estimation strategies for at least three leading dynamic, nonlinear models: probit, Tobit and Poisson regression. I treat the general problem of estimating average partial effects, and show that simple estimators exist for important special cases. Copyright © 2005 John Wiley & Sons, Ltd.     

Monetary policy announcements and stock reactions: An international comparison

This article investigates the impact of domestic monetary policy rate announcements on the stock markets of New Zealand, Australia, the United Kingdom and the euro area, using event-study methods to identify stock price reactions to the unanticipated/surprise component of announcements. As Australia and New Zealand did not reach the zero bound we investigate whether there is an impact from the global financial crisis on stock market reactions that can be distinguished from the asymmetric reactions to surprises that characterise the business cycle. We find that the euro area and the UK both show a financial crisis effect but behaviour in New Zealand and Australia does not change. We conduct robustness checks and explore confounding factors, especially the impact of ‘guidance’ from central banks that prepares markets for policy rate changes.     

Order Choices: An Intraday Analysis of the Taiwan Stock Exchange

This paper employs order-, trade-, and quote-level data to examine the determinants of order choices and the impacts of order choices on execution quality by various investor types in the Taiwan Stock Exchange. We find marketable-quote orders have a higher degree of price aggressiveness, larger order size, higher trade value, shorter duration, and higher fill rate than behind-the-quote orders. There exists a transient order serial correlation. Different types of investors have their own preferences in order choices, while market microstructure factors, such as transitory volatility, spread, market depth, and trading interval, significantly influence stock traders’ order choices. Findings show that marketable-quote orders tend to perform better in terms of order duration. Moreover, institutional investors spend less time on completing their trades than do individuals, particularly for foreign investors after controlling all other factors.     

The Effect of Technological Change and Technical Inefficiencies on the Performance of Functional Forms

Technological change is one of the most important determinants of the technological structure of the firm. Unfortunately, this crucial factor is often unobserved and must therefore be approximated. It is also well recognized that firms are not necessarily located on their efficient production frontier, a phenomenon known as technical inefficiency. This paper compares the performance of three flexible functional forms (the Translog, Symmetric McFadden and Symmetric Generalized Barnett) to properly infer theoretical properties and technology measurements when: (i) unobserved technological change is approximated by a time trend in the variable-cost-function specification and, (ii) firms may be technically inefficient. Our results indicate that no functional form dominates and that measuring the shifts of the production (cost) function has a clear and negative effect on the performance of the functional forms. Furthermore, we find that technical inefficiencies have a significant and negative effect on the measurement of, notably, returns to scale and the implicit rental price of capital. However, all forms over-reject theoretical properties and provide adequate technology measurements only on a sample-average basis. In addition, the performance of the functional forms is closely related to the true underlying rate of technological change.     

Are there common values in first-price auctions? A tail-index nonparametric test

We develop a consistent nonparametric test of common values in first-price auctions and apply it to British Columbia Timber Sales data. The test is based on the behavior of the CDF of bids near the reserve price. We show that the curvature of the CDF is drastically different under private values (PV) and common values (CV). We then show that the problem of discriminating between PV and CV is equivalent to estimating the lower tail index of the bid distribution. Our approach admits unobserved auction heterogeneity of an arbitrary form. We develop a Hill (1975)-type tail index estimator and find the presence of common values in BC Timber Sales.