The impact of governance and transparency on firm investment in Vietnam

A large literature asserts a causal relationship between the quality of economic governance and economic performance. However, attempts to establish such a link at an aggregate level have met with considerable methodological criticism. This paper seeks to overcome this limitation. We match a panel of Vietnamese enterprises from 2006 to 2010 with a unique panel dataset measuring sub‐national economic governance to estimate a relationship between local governance and private investment. We do not find a significant relationship between investment and most traditional forms of governance. However, there is one important exception – transparency, especially the public posting of planning documents, is strongly associated with higher investment across a range of different specifications. Our results have significant implications for policy, given the prevailing theory that changes in the quality of local economic governance will spur improved economic performance.     

Government Deposit Insurance and the Diamond-Dybvig Model

The apparent banking market failure modeled by Diamond and Dybvig [1983] rests on their inconsistently applying their sequential servicing constraint to private banks but not to their government deposit insurance agency. Without this inconsistency, banks can provide optimal risk-sharing without tax-based deposit insurance, even when the number of type 1 agents is stochastic, by employing a contingent bonus contract. The threat of disintermediation noted by Jacklin [1987] in the nonstochastic case is still present but can be blocked by contractual trading restrictions. This article complements Wallace [1988], who considers an alternative resolution of this inconsistency.     

Industry concentration,excess returns and innovation in Australia

This paper examines market concentration and stock returns on the Australian Securities Exchange. We find that dominant companies operating in concentrated industries in Australia are able to generate significant risk‐adjusted excess stock returns. Our results for Australian data are opposite to that found by Hou and Robinson (2006) for United States market data. Hou and Robinson reason that United States firms which operate in concentrated industries are insulated from competitive pressures, have lower levels of innovation (Arrow, 1962) and therefore experience lower profitability and stock returns. By contrast, the Australian data show a significant and positive relationship between concentration and innovation expenditure. Therefore, the excess stock returns of dominant companies in Australia are consistent with previous research linking innovation expenditure with excess stock returns. We hypothesize that the apparent contradiction of our results compared with Hou and Robinson (2006) for the United States market is resolved by an examination of the differences in size and competition in United States and Australian industries and the consequent differential ability of dominant companies in the two countries to generate monopoly rents and invest in ‘Schumpeterian’ (Schumpeter, 1942) innovation.     

Bayesian inference and portfolio efficiency

A Bayesian approach is used to investigate a sample's informationabout a portfolio's degree of inefficiency. With standard diffusepriors, posterior distributions for measures of portfolio inefficiencycan concentrate well away from values consistent with efficiency,even when the portfolio is exactly efficient in the sample.The data indicate the that the NYSE-AMEX market portfolio israther inefficient in the presence of a riskless asset, althoughthis conclusion is justified only after an anslysis using informativepriors. Including a riskless asset significantly reduces anysample's ability to produce posterior distributions supportingsmall degrees of inefficiency.     

Fractal market time

Ané and Geman (2000) observed that market returns appear to follow a conditional Gaussian distribution where the conditioning is a stochastic clock based on cumulative transaction count. The existence of long range dependence in the squared and absolute value of market returns is a ‘stylized fact’ and researchers have interpreted this to imply that the stochastic clock is self-similar, multi-fractal (Mandelbrot, Fisher and Calvet, 1997) or mono-fractal (Heyde, 1999). We model the market stochastic clock as the stochastic integrated intensity of a doubly stochastic Poisson (Cox) point process of the cumulative transaction count of stocks traded on the New York Stock Exchange (NYSE). A comparative empirical analysis of a self-normalized version of the stochastic integrated intensity is consistent with a mono-fractal market clock with a Hurst exponent of 0.75.     

A study into mechanisms of attitudinal scale conversion: A randomized stochastic ordering approach

Quantitative Marketing and Economics - This paper considers the methodological challenge of how to convert categorical attitudinal scores (like satisfaction) measured on one scale to a categorical...     

Bayesian inference for periodic regime-switching models

We present a general class of nonlinear time-series Markov regime-switching models for seasonal data which may exhibit periodic features in the hidden Markov process as well as in the laws of motion in each of the regimes. This class of models allows for non-trivial dependencies between seasonal, cyclical and long-term patterns in the data. To overcome the computational burden we adopt a Bayesian approach to estimation and inference. This paper contains two empirical examples as illustration, one uses housing starts data while the other employs US post-Second World War industrial production. © 1998 John Wiley & Sons, Ltd.