Sarantis Tsiaplias

Phillips Curve and the Equilibrium Unemployment Rate

A time-varying Phillips Curve was estimated as a means to examine the changing nature of the relationship between wage inflation and the unemployment rate in Australia. The implied time-varying equilibrium unemployment rate was generated and the analysis showed the important role played by variations in the slope of the Phillips Curve in changing the equilibrium unemployment rate. The deviations of actual unemployment rates from the estimated equilibrium unemployment rates also performed remarkably well as measures of inflationary pressure.

Bank and Official Interest Rates: How Do They Interact Over Time?

This paper implements a procedure to evaluate time-varying bank interest rate adjustments over a sample period which includes changes in industry structure, market and credit conditions and varying episodes of monetary policy. The model draws attention to the pivotal role of official rates and provides estimates of the equilibrium policy rate. The misalignment of actual official rates and their changing sensitivity to banking conditions is identified. Results are also provided for the variation in intermediation margins and pass-throughs as well as the interactions between lending and borrowing behaviour over the years, including behaviour before, during and after the global financial crisis. The case studies are the US and Australian banking systems.

Factor estimation using MCMC-based Kalman filter methods

An exact MCMC-based solution for the Kalman filter with Markov switching and GARCH components is proposed. To motivate the solution, an international equity market model incorporating common Markovian regimes and GARCH residuals in a persistent factor environment is considered. Given the intractable and approximate nature of the models likelihood function, a Metropolis-in-Gibbs sampler with Bayesian features is constructed for estimation purposes. To accelerate the drawing procedure, approximations to the conditional density of the common component are also considered. The model is applied to equity data for 18 developed markets to derive global, European, and country-specific equity market factors.

Forecasting Australian Macroeconomic Variables Using a Large Dataset

This paper investigates the forecasting performance of the diffusion index approach for the Australian economy, and considers the forecasting performance of the diffusion index approach relative to composite forecasts. Weighted and unweighted factor forecasts are benchmarked against composite forecasts, and forecasts derived from individual forecasting models. The results suggest that diffusion index forecasts tend to improve on the benchmark AR forecasts. We also observe that weighted factors tend to produce better forecasts than their unweighted counterparts. We find, however, that the size of the forecasting improvement is less marked than previous research, with the diffusion index forecasts typically producing mean square errors of a similar magnitude to the VAR and BVAR approaches.

The Welfare Implications of Unobserved Heterogeneity

Conditions are derived for relating household well-being functions to household utility. In particular, an isomorphic relationship between the equivalent incomes stemming from subsistence-based utility functions and well-being functions is established. This allows estimates from standard models of well-being based on a CDF (eg. probit and logit models) to be given a formal welfare interpretation. New measures of the welfare distortion due to unobserved heterogeneity are also derived. An Australian household-level dataset is used as a case study for exploring the proposed measures of distortion. The results indicate that the failure to account for unobserved heterogeneity produces significant welfare distortions (primarily in the form of under-compensation). A unique welfare sensitivity curve is also estimated that indicates the presence of non-linearities that impair the typically monotonic relationship between household income, the household’s capacity to adjust its income and its marginal utility of consumption. The results are significant for better understanding the welfare implications of tax and transfer policies.

A Multivariate GARCH Model Incorporating the Direct and Indirect Transmission of Shocks

Theoretical models of contagion and spillovers allow for asset-specific shocks that can be directly transmitted from one asset to another, as well as indirectly transmitted across uncorrelated assets through some intermediary mechanism. Standard multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models, however, provide estimates of volatilities and correlations based only on the direct transmission of shocks across assets. As such, spillover effects via an intermediary asset or market are not considered. In this article, a multivariate GARCH model is constructed that provides estimates of volatilities and correlations based on both directly and indirectly transmitted shocks. The model is applied to exchange rate and equity returns data. The results suggest that if a spillover component is observed in the data, the spillover augmented models provide significantly different volatility estimates compared to standard multivariate GARCH models.

Predicting Short-Term Interest Rates: Does Bayesian Model Averaging Provide Forecast Improvement?

This paper examines the forecasting qualities of Bayesian Model Averaging (BMA) over a set of single factor models of short-term interest rates. Using weekly and high frequency data for the one-month Eurodollar rate, BMA produces predictive likelihoods that are considerably better than the majority of the short-rate models, but marginally worse off than the best model in each dataset. We observe preference for models incorporating volatility clustering for weekly data and simpler short rate models for high frequency data. This is contrary to the popular belief that a diffusion process with volatility clustering best characterizes the short rate.

A Bayesian Approach to Modeling Time-Varying Cointegration and Cointegrating Rank

A multivariate model that allows for both a time-varying cointegrating matrix and time-varying cointegrating rank is presented. The model addresses the issue that, in real data, the validity of a constant cointegrating relationship may be questionable. The model nests the submodels implied by alternative cointegrating matrix ranks and allows for transitions between stationarity and nonstationarity, and cointegrating and noncointegrating relationships in accordance with the observed behavior of the data. A Bayesian test of cointegration is also developed. The model is used to assess the validity of the Fisher effect and is also applied to equity market data.

Interest Rates, Local Housing Markets and House Price Over-reactions

Understanding the effects of interest rates on city‐specific house price to household income ratios is important for managing local housing markets. In particular, there is concern that keeping interest rates at sufficiently low levels can distort the relationship between local house prices and fundamentals. We use house price to income ratios across capital cities in Australia to investigate this issue and show that there is a national interest rate ‘transition’ point below which housing dynamics can become unstable. This result lends support to the presence of a duration‐dependent threshold effect (hitherto mainly explored in theoretical models). [ABSTRACT FROM AUTHOR]

Non-Linearities in the Relationship between House Prices and Interest Rates: Implications for Monetary Policy

Understanding the impact of changes in interest rates on house prices is important for managing house price bubbles and ensuring housing affordability. This paper investigates the effect of interest rates on regional house price to income measures based on a non-linear smooth transition VAR model of inter-regional house price dynamics. To minimize the impact of housing mix changes on estimated effects, we apply the model to an Australian dataset of regional hedonic house price indices that account for both changes in housing mix and quality over time. The empirical analysis provides evidence that house price to income ratios depend non-linearly on interest rates, and moreover that there is an interest rate ‘transition point’ below which a house price bubble is probable. We investigate the implications for monetary policy of stable and unstable house price regimes and propose a housing lending rate lower bound that achieves long-run house price stability in the presence of regime uncertainty. To check the generality of the result, we also apply the model to aggregate Australian and US data.