Information and Investor Behavior Surrounding Earnings Announcements

The goal of this paper is to analyze the impact of annual earnings announcements on the market through the order flow data in addition to the usual transaction data. In this respect, examining order flow data can potentially reveal valuable information that is not available from transaction data. In fact, the data allow us to test hypotheses about asymmetric information and investor behavior and to test if the behavior varies with investor sophistication. In addition, the paper tries to identify the determinants of the impact on a firm's value using assumptions about investor behavior.     

Public or Private Sector Wage Leadership? An International Perspective*

Whether a government acts as a wage leader, placing pressure on private‐sector wages (more open to competition), or whether it plays a passive role and merely follows wage negotiations in the private sector, there are important implications for macroeconomic development, particularly in small open economies and/or countries that are members of a monetary union, such as those of the European Monetary Union. With the notable exception of the case of Sweden, opinion on this issue is still divided. In this paper, we look at public‐ and private‐sector wage interactions from an international perspective (18 OECD countries). We focus on the causal two‐way relationship between public and private wage setting, confirming that the private sector, on the whole, appears to have a stronger influence on the public sector, rather than vice versa. However, we also find evidence of feedback effects from public wage setting, which affect private‐sector wages in a number of countries. When the private sector takes the lead on wages, there are few feedback effects from the public sector, while public wage leadership is typically accompanied by private‐sector feedback effects.     

Political objectives and privatization decisions

In early Romanian privatization a group of firms was explicitly banned from privatization. We use this institutional feature to test which factors contributed to the selection of firms for long‐term state ownership, and find that politicians sheltered from privatization large and inefficient firms which paid low wages and had high overdue payments. These results are consistent with minimization of employment losses, even if efficiency enhancement of privatization had to be sacrificed. We conjecture that the unfavourable economic conditions bringing large employment losses motivated Romanian politicians to fear the possible negative employment effects of privatization.     

Nowcasting the French index of industrial production: A comparison from bridge and factor models

Governments and central banks need to have an accurate and timely assessment of indicators for the current month, as this is essential for providing a reliable and early analysis of the current economic situation. The index of industrial production (IIP) is probably the most important and widely analyzed monthly indicator, given the relevance of the manufacturing activity as a driver of the whole business cycle. This paper presents a series of models conceived to forecast the current French monthly IIP, based on regression models and dynamic factor models. The combination of these two approaches allows selecting economically relevant explanatory variables among a large data set. In addition, a rolling forecast study is carried out to assess the forecasting performance of the estimated models, using predictive ability and model confidence set tests. This latter allows getting several models displaying equivalent forecasting performance and therefore gives robustness to the forecasting exercise rather than to base the forecasting analysis only on one model.     

Romanians,Hungarians and their wages,in transition,in Romania

Legally binding treaties or memorandums have been used over time to regulate the issue of national borders of many European countries. As a result, relatively large groups of people have become ethnic minorities in other countries. They may conserve their ethnic identities, and therefore their children may accumulate ethnic human capital (e.g., language, culture, and religion) in addition to the general human capital of the country. Therefore, they can get access to an appropriate occupation linked by tradition or other factors to their ethnic group. This paper uses estimates from a selection model with an endogenous switch among three broad types of occupational groups to analyze the composition of the wage gap between Romanians and ethnic Hungarians in Romania before and during the transition from a planned to a market economy. The results suggest that the institutional settings of the controlled economy allowed Romanians to work in occupations that gave them the best returns, while the changes during the transition years allowed ethnic Hungarians to work in occupations that gave them the best returns.     

Asymmetry, realised volatility and stock return risk estimates

In this paper we estimate minimum capital risk requirements for short and long positions with three investment horizons, using the traditional GARCH model and two other GARCH-type models that incorporate the possibility of asymmetric responses of volatility to price changes. We also address the problem of the extremely high estimated persistence of the GARCH model to generate observed volatility patterns by including realised volatility as an explanatory variable into the model??s variance equation. The results suggest that the inclusion of realised volatility improves the GARCH forecastability as well as its ability to calculate accurate minimum capital risk requirements and makes it quite competitive when compared with asymmetric conditional heteroscedastic models such as the GJR and the EGARCH.     

Cardinal Bayesian allocation mechanisms without transfers

In allocating goods with no use of monetary transfers, random allocation mechanisms can be designed in order to elicit information on preference intensities. I study the nontransfer allocation of two ex-ante identical objects under Bayesian incentive compatibility, with symmetric agents and independent private valuations. I find the ex-ante utilitarian-optimal mechanism, in which the probability of receiving a specified object is used as “numeraire” to purchase probability units of the other object. I characterize this mechanism as an appropriate combination of lotteries, auctions and insurance. The latter element ensures that efficient auctions are feasible. If the problem is constrained to guarantee exactly one object per agent, then the optimal mechanism uses no information other than the agents? ordinal preferences.     

Information technology innovation in India: The top 100 IT firms

Patents serve as an indicator of the innovation capability of countries, industries, or firms. Many Indian firms are in a transition to move from labor intensive segments to areas with higher value added which has been reflected in this research. The purpose of this study is to analyze patents issued during the period of 1997–2009 from the European Patent Office database and the United States Patent and Trademark Office database from the top one hundred Indian information technology firms. This study represents a novel empirical look at information technology industry innovations in India. A comprehensive set of statistical patent analyses are presented to provide practitioners with valuable knowledge to assist in business strategic planning.     

Computing DSGE models with recursive preferences and stochastic volatility

This paper compares different solution methods for computing the equilibrium of dynamic stochastic general equilibrium (DSGE) models with recursive preferences such as those in Epstein and Zin, 1989, Epstein and Zin, 1991 and stochastic volatility. Models with these two features have recently become popular, but we know little about the best ways to implement them numerically. To fill this gap, we solve the stochastic neoclassical growth model with recursive preferences and stochastic volatility using four different approaches: second- and third-order perturbation, Chebyshev polynomials, and value function iteration. We document the performance of the methods in terms of computing time, implementation complexity, and accuracy. Our main finding is that perturbations are competitive in terms of accuracy with Chebyshev polynomials and value function iteration while being several orders of magnitude faster to run. Therefore, we conclude that perturbation methods are an attractive approach for computing this class of problems.