The cyclicality of bank regulation in a general economic framework

This article utilizes a representative agent model to address how the regulation policies for banks should respond to the general economic condition. With the consideration of a self-fulfilling deposit insurance facility with sufficient bank reserve to meet the expected need of liquidity shock, our model suggests a counter-cyclical capital adequacy requirement in a competitive loan market. The exception might occur when the moral hazard problem becomes very unwieldy and the representative individual is rather risk averse. With regard to the closure policy, we find that it is closely related to the individual’s degree of risk aversion. A counter-cyclical closure policy is recommended when the individual is highly risk averse. Otherwise, a pro-cyclical closure policy is preferred.     

The dynamic evolution and technological diffusion in Taiwan's TFT-LCD industrial cluster: a network perspective

Industrial clusters evolve dynamically as the external environment changes. To better understand the nature of cluster evolution, which has nurtured economic growth in early 2000s, strategy and organisation scholars have attempted to unpack contributors to cluster evolution from the perspective of the ‘environmental uncertainty’ and ‘resource abundance’ effects. The paper adopts and extend an earlier extant model through empirical testing of the thin-film transistor liquid crystal display (TFT-LCD) industrial cluster in Taiwan, a developing country. This study modifies the extant network model by adding a diffusion of technological innovation index to cluster evolving. Using the extended case study, the study examines the dynamic evolutionary process in the TFT-LCD industrial cluster. It was found that the evolution of the TFT-LCD industrial cluster resembles the theoretical argument in some respects. The characteristics of network change are modified according to these results. Implication for policymakers and decision-makers of developing countries are also discussed.     

Jacques Le Bourva's theory of endogenous credit-money ∗

About 30 years ago, Jacques Le Bourva published two little-known articles that clearly set out the present post-Keynesian theory of endogenous money developed by Kaldor and Moore. The main features of these two articles are presented, in particular Le Bourva's belief that reverse causation, rather than the instability of the velocity function, is the key objection to the quantity theory of money and the mainstream theory of inflation. Other features include a graphical and an algebraic pedagogical representation of the theory of endogenous money, the use of the Banking school's efflux/reflux mechanism, the dismissal of the money multiplier, and the impossibility of an excess supply of money. Le Bourva's theory of inflation also resembles that adopted by many post-Keynesians, in which price increases due to excessive wage demands and attempts by firms to raise their profit margins to finance investment.     

Measuring inflation expectations: a survey data approach

Measures of expected inflation from consumer surveys are derived using a modification of the Carlson-Parkin probability approach, which does not assume unbiasedness of expectations, makes use of survey data on expected future as well as perceived past price developments and allows for time varying response thresholds. We apply this method to the normal, central-t and noncentral-t distributions, thereby investigating the effects of nonnormal peakedness and asymmetry. We find that the effects on expected inflation of the former are small and of the latter are substantial, without increasing the accuracy of the expectations, however. Expected and actual inflation show substantial persistence, and, for most of our expectations measures, are cointegrated. Furthermore, the forecast error is stationary, implying weak-form rationality. The co-movement of currently observed expected inflation measures and the unobserved 12-months-ahead inflation rate is of interest for policy makers, for example in the direct inflation targeting strategy. Notwithstanding this, caution is warranted in using them as information variables because the inflation expected by consumers is no causal determinant of actual future inflation.     

Expected risk and excess returns predictability in emerging bond markets

This study examines the predictability of expected excess returns from eight emerging bond markets within an international asset pricing framework. Two sets of instruments are used, which include both world and local factors, to forecast emerging bond returns. Besides investigating the influence of the macroeconomic factors in specific countries on bond returns in those countries, this study also divides local factors into macroeconomic and financial factors. Unlike previous studies, we apply macroeconomic instruments that contain more information on excess returns as a proxy for local risk factors via principal component analysis methodology. The information variable approach enables the prediction of excess bond returns based on world and local factors and facilitating understanding of the degree of integration between emerging bond markets and developed bond markets. The results indicate that the bond market in emerging world is partially integrated to that in the developed world and the predictability of local factors that include both financial and macroeconomic information variables can forecast around 25–66% of the returns of emerging bonds. Incorporating the macroeconomic variables increases the explanatory power of the model. Both world and country-specific local instruments can forecast excess bond returns, but local instruments appear to be better predictors of such returns, particularly the local credit spread to US. Additionally, this study finds that investor risk aversion is significant among most of sample countries.     

Consistency in performance rankings: the Peru water sector

Regulators can utilize a number of alternative methodologies for comparing firm efficiency, but these approaches need to be robust to be accepted by stakeholders. This study evaluates the consistency of water-utility performance rankings for Peruvian water utilities. The results indicate that data envelopment analysis (DEA) and stochastic frontier analysis (SFA) yield similar rankings in this case. In addition, the techniques have comparable success for identifying the best and worst performing utilities. However, these rankings based on sophisticated statistical techniques are not highly correlated with those developed by the Peruvian water regulator (SUNASS). This result does not invalidate the performance rankings obtained by the regulator, since those rankings are based on more dimensions of utility performance. However, they illustrate the importance of developing sound techniques for identifying weak utilities. Improvements in sector performance require that benchmarking be given greater attention than in the past.     

Merger and optimal number of firms: an integrated simulation approach

In a market where imperfect competition occurs as a result of mergers, this study proposes a framework consisting of both efficiency and risk analyses that allow the simulation of pro forma mergers and hence the determination of the optimal number of firms in the industry. This is valuable policy information for regulators concerned with possible intervention in the case of competition and anti-trust violations, and also for business managers seeking acquisition targets. The framework is applied to the banking industry in Taiwan. Results reveal the potential for industrial restructuring in a sector where the optimal number of Bank Holding Companies (BHCs) is between four and six, subject to whether partial control is assumed.     

The frequency and magnitude of earnings management in China

Earnings management is an indicator of the corporate governance quality and investor protection standard. We study the frequencies and magnitudes of earnings management under two different thresholds, zero earnings and prior earnings, in the Chinese market from 1997 to 2004. We model earnings as a mixed-normal distribution and obtain parameter estimators that measure the frequency and magnitude of earnings management. We show that the practice of earnings management has gone up both in frequency and magnitude during the post-2000 period. We also find that the frequency and magnitude of earnings management are higher when firms try to avoid negative earnings than when firms try to report earnings increase. Our findings reflect the current economic environment in China and caution investors on the low-disclosure quality in the Chinese stock market.