Mixed oligopoly, optimal privatization, and foreign penetration

This paper examines the impact of foreign penetration on privatization in a mixed oligopolistic market. In contrast to the simple framework of single domestic market with foreign entry by entry mode of foreign direct investment (FDI) or exports, our result shows that government should increase the degree of privatization along with increasing proportion of domestic ownership of multinational firms. Furthermore, we show that an increase in domestic ownership of multinational firms raises all domestic private firms' profit and social welfare, while it may either increase or decrease public firm's profit. With the aid of numerical example, intensive competition from private firms in general will enhance the degree of privatization gradually; in particular, the degree of privatization is lower in the presence of multinational firms.     

Exploring the effects of aggregation error in the estimation of consumer demand elasticities

Errors introduced by using aggregate data in estimating a consumer demand model have long been a concern. We study the effects of such errors on elasticity estimates derived from AIDS and QUAIDS models. Based on a survey of published articles, a generic parameterization of the income distribution, and the range of Gini coefficients reported for 28 OECD countries, we generate and analyze a large number of “observations” on the differences between elasticities calculated at the aggregate level and those calculated at the micro level. We suggest a procedure for evaluating the likely range of aggregation error when a model is estimated with aggregate data.     

New Keynesian Phillips Curve and inflation dynamics in Australia

The New Keynesian Phillips Curve (NKPC) was developed as a response to the New Classical critique that Keynesian macroeconomics lacked micro-foundations. The NKPC provides theoretical micro-foundations that attempt to explain, inter alia, nominal rigidities and, explicitly price stickiness. This paper investigates the validity of the NKPC for Australia. In contrast to the findings for the USA and Euro area, we find that neither the output gap nor marginal cost appears to be a key driving force variable across different set of instruments and estimators (GMM and 2SLS) over the sample period from 1959 to 2009. The flattening of the NKPC along with significant presence of price stickiness is also found in the data. In particular, the reduced form coefficients and implied estimates from the structural parameters of the model support the view that inflation dynamics are forward looking while the role of lagged inflation is also statistically important only after 1980s. However, we claim that the forward looking baseline NKPC contrary to the hybrid NKPC is stable and better explains inflation dynamics for the Australian economy.     

A lattice approach for pricing convertible bond asset swaps with market risk and counterparty risk

This paper proposes a new lattice framework for valuing convertible bonds (CBs) and asset swaps on CBs (CBASs) with market risk and counterparty risk, where interest rate is assumed to follow a mean-reverting square root process. The reduced-form approach is generalized to include a constant elasticity of variance (CEV) process for equity price prior to default. In order to approximate the CEV process while taking into account stochastic interest rate and the correlation between stock price and interest rate, I first propose a transform that is uncorrelated with interest rate, and then construct a new lattice method which can ensure the validity of branching probabilities for all nodes. The lattice framework performs properly when it is used to value European call options. Based on the empirical results in Duffie et al. (J. Fin. Econ. 83(3): 635-665, 2007) and Jankowitsch et al. (J. Bank. Fin. 32(7): 1269-1285, 2008), a novel default intensity process is constructed which is specified as a function of time, stock price, and interest rate. When valuing the asset swaps, the counterparty risk is taken into consideration. Based on the results of the numerical experiments, the impacts of different parameters on the prices of CBs and CBASs are explained.     

A note on free entry under uncertainty: The role of asymmetric information

In a model of competing managerial firms I show that the equilibrium number of firms decreases with uncertainty if entry is relatively more costly than monitoring. The result adds to the earlier contributions and is consistent with the available evidence.     

A robust test for multivariate normality

The size of the Jarque-Bera test for multivariate normality can be severely distorted in small samples. An alternative test procedure, that turns out to have good size and power properties, is suggested.     

A direct test of hyperbolic discounting using market asset data

This paper introduces a framework that generalizes exponential discounting in a net present value model by including a quasi-hyperbolic discount parameter in the asset valuation equation. Using observed market asset data, a statistically significant quasi-hyperbolic parameter is obtained, thus rejecting exponential discounting.     

Market timing: Recent development and a new test

Henriksson-Merton's market timing test suffers nontrivial size distortion when the event forecast is autocorrelated. A new test is suggested to detect the dependence of two autocorrelated binary time series. It complements the existing tests due to better test power.     

An in-sample and out-of-sample empirical investigation of the nonlinearity in house prices of South Africa

This paper tests whether housing prices in the five segments of the South African housing market, namely large-middle, medium-middle, small-middle, luxury and affordable, exhibit non-linearity based on smooth transition autoregressive (STAR) models estimated using quarterly data from 1970:Q2 to 2009:Q3. Findings point to an overwhelming evidence of non-linearity in these five segments based on in-sample evaluation of the linear and non-linear models. We next provide further support for non-linearity by comparing one- to four-quarters-ahead out-of-sample forecasts of the non-linear time series model with those of the classical and Bayesian versions of the linear autoregressive (AR) models for each of these segments, for the out-of-sample horizon 2001:Q1 to 2009:Q3, using the in-sample period 1970:Q2 to 2000:Q4. Our results indicate that barring the one-, two and four-step(s)-ahead forecasts of the small segment, the non-linear model always outperforms the linear models. In addition, given the existence of strong causal relationship amongst the house prices of the five segments, the multivariate versions of the linear (classical and Bayesian) and STAR (MSTAR) models were also estimated. The MSTAR always outperformed the best performing univariate and multivariate linear models. Thus, our results highlight the importance of accounting for non-linearity, as well as the possible interrelationship amongst the variables under consideration, especially for forecasting.