The emerging paradigm of strategic behavior

Several apparently conflicting empirically tested theories have been advanced as explanations of strategic behavior. This paper suggests that the theories differ because they were based on observations of organizations in different environmental settings. The paper proposes a paradigmic framework which legitimizes and accommodates the respective theories.     

Enterprise Adjustment

MOCT-MOST: Economic Policy in Transitional Economies -     

Is the European integration speeding up the economic convergence process of the Central and South-Eastern European countries? A shock perspective

In the current context of continuous reassessment of the sustainability of the single currency and gradual enlargement of the euro area during the last decade, the objective of this research is to obtain new insights into the factors that determine the synchronisation of shocks in the Central and South-Eastern European countries vis-à-vis the euro area. The research contributes to the previous work by making a novel use of error correction model in a dynamic panel context which is extended by adding several important omitted variables related to the trade structure and policy coordination. We find that an increase in trade intensity, intra-industry trade and financial integration leads to less frequent asymmetric shocks. On the other hand, divergent fiscal policies are estimated in some model specifications to increase the shock divergence process, although the estimated impact is rather small to counteract the positive effects associated with trade and financial integration. The identified relationships in this research are affected by the significant trade and growth slowdown in the crisis period; while the global economic turmoil has boosted a demand shock convergence, its impact on the supply shocks is in the opposite (diverging) direction.     

Family control,multiple institutional block-holders,and informed trading

This paper investigates how large family shareholders and institutional block-holders jointly influence informed trading and firm valuation in the Hong Kong stock market. It combines market microstructure research with studies on the governance roles of multiple block-holders and finds that institutional block-holders rely on their relative controlling power vis-à-vis family owners to mitigate problems associated with informed trading. They also use their ownership rights to improve the structure of informed trading. However, these governance roles are predominantly exercised by pressure-resistant institutional block-holders. Informed trading reduces firm valuation, while an improvement in its structure increases valuation. Therefore, the governance roles of controlling families and pressure-resistant institutional block-holders may have different implications in terms of investors’ perceptions of private information risk.     

Venture Capitalists, Syndication and Governance in Initial Public Offerings

This paper examines the development of effective boards in venture capital (VC)-backed initial public offerings. It argues that VC-backed IPOs suffer from two sets of agency costs which are related to principal–agent and principal–principal relationships between the founders and members of the VC syndicate. Using a unique sample of 293 entrepreneurial IPOs in the UK it shows that VC syndicates invest in relatively more risky firms. VC-backed IPOs have more independent boards than IPOs with no VC involvement, with board independence being higher in syndicated VC-backed firms. These results are consistent with assumption that these governance factors are used to mitigate agency costs associated with VC involvement in IPO firms. We also find that in syndicated IPOs there is a higher equity presence of passive private equity firms investing alongside VC firms.     

Forecasting with factor-augmented error correction models

As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Banerjee and Marcellino (2009) introduced the Factor-augmented Error Correction Model (FECM). The FECM combines error-correction, cointegration and dynamic factor models, and has several conceptual advantages over the standard ECM and FAVAR models. In particular, it uses a larger dataset than the ECM and incorporates the long-run information which the FAVAR is missing because of its specification in differences. In this paper, we examine the forecasting performance of the FECM by means of an analytical example, Monte Carlo simulations and several empirical applications. We show that FECM generally offers a higher forecasting precision relative to the FAVAR, and marks a useful step forward for forecasting with large datasets.