SOME EVIDENCE ON MEAN REVERSION IN EX ANTE REAL INTEREST RATES

Ex ante real interest rates and their differentials are tested for mean reversion using quarterly data on three-month treasury bill rates and consumer prices for 12 major industrial countries over the period 1972:l-1993:3. The results are strongly supportive of mean reversion, particularly when less conventional tests are employed. The conclusion that can be derived from the empirical evidence is that goods, capital and foreign exchange markets have become highly integrated in the countries under consideration.     

Demystifying the Meese–Rogoff puzzle: structural breaks or measures of forecasting accuracy?

Structural breaks have been suggested by several economists as a possible explanation for the Meese–Rogoff puzzle, in the sense that an exchange rate model can outperform the random walk in terms of the out-of-sample forecasting error if the period under investigation is free of structural breaks. The results indicate that structural breaks cannot explain the inability of the flexible price monetary model to outperform the random walk. The only plausible explanation for the Meese–Rogoff puzzle is that forecasting accuracy is traditionally assessed by magnitude-only measures. When forecasting accuracy is assessed by alternative measures that do not rely exclusively on the magnitude of error, the monetary model can outperform the random walk regardless of the presence or otherwise of structural breaks.     

Operational risk,the legal system and governance indicators: a country-level analysis

A total of 4388 operational loss events recorded over three decades in 53 countries are analysed on a country level in terms of the size of the economy, the standard of living, the legal system, the regional factor and six governance indicators. The results show that the average severity of the operational losses incurred by firms located in a particular country is positively related to the size of the economy and the standard of living. The results also show that loss of severity is negatively related to governance indicators, particularly regulatory quality. The frequency of operational loss events is also positively related to the size of the economy.     

The effects of multilateral trading systems on risk and return in equity markets

The event study methodology of Brown and Warner (1985) is adopted and augmented to evaluate the effect of the launch of multilateral trading systems on risk and return in equity markets. The methodology is supplemented with various techniques, such as the nonparametric ranking test and kernel regression, to find out if announcements about the introduction of Chi-X Australia generated abnormal returns (ARs). Asset pricing models are fitted with interaction variables, while GARCH, threshold ARCH (TARCH), exponential GARCH (EGARCH) and power-ARCH (PARCH) are used to determine changes in systematic risk. We find evidence in favour of Fisher’s separation theorem and detect a new market anomaly, which we call the ‘Fisher market anomaly’. Our results show that Chi-X system testings affect ARs. Consistent with the adaptive expectations theory, we confirm that the first announcement about the launch of Chi-X affected systematic risk the most. In addition, we identify industry and firm effects in risk analysis.     

Narcissism,political tenure,financial indicators and the effectiveness of environmental regulation

This article explores the factors that determine the effectiveness of environmental regulation in the United States and Australia. Unlike prior literature, in which lagging performance measures (such as carbon emissions) are used, we use financial data to develop effectiveness scores and identify the determinants of effectiveness, including narcissistic behaviour, tenure of political leaders and financial indicators. Consistent with the emerging literature on environmental finance, we find that abnormal returns are associated with environmental regulation and that effectiveness is adversely affected when narcissistic leaders are in power. Our results remain robust when we control for various event windows and models.     

Testing for Temporal Asymmetry in the Price‐Volume Relationship

This paper presents some evidence for the presence of temporal asymmetry in the price-volume relationship in the crude oil futures market. By using threshold models we show that there is bidirectional causality between volume and prices, whereas the conventional model that assumes symmetry can only detect unidirectional causality. The results also show that the price-volume relationship is asymmetric, in the sense that negative price and volume changes have stronger effects (on each other) than positive changes. Some explanations for asymmetry in the price-volume relationship are suggested.     

The effects of the Paris climate agreement on stock markets: evidence from the German stock market

We investigate the effects of the 2016 Paris Climate Agreement on the German stock market by considering the impact of 20 announcements pertaining to the Agreement on 17 industries. The event study methodology is used for this purpose, together with several robustness tests, such as the nonparametric rank test and non-parametric conditional distribution approach. The change in systematic risk following the announcements is captured by using various risk models. In general, we find that the Paris Climate Agreement is achieving its objectives in the short run. Our results show that the announcements affected polluting industries in terms of risk and return. Furthermore, we observe two distinct diamond risk structures when (1) Conference of the Parties (COP) 21 took place, and (2) the Agreement came into force.     

The efficiency of the buy-write strategy: Evidence from Australia

We examine the performance of the buy-write option strategy (BWS) on the Australian Stock Exchange and analyse whether such an investment opportunity violates the efficient market hypothesis on the basis of its risk and returns. This study investigates the relationship between buy-write portfolios returns and past trading volume and other fundamental financial factors including dividend yield, firm size, book to market ratio, earnings per share (EPS), price earnings ratio and value stocks within these portfolios. We also test the profitability of the buy-write strategy during bull and bear markets. Consistent with the literature, it is observed that BWS offers superior risk adjusted returns for low levels of out-of-moneyness and contrary evidence is observed for deeper out-of-money portfolios. Consistent with a preference for options with a maturity of around 3 months in Australia, this research shows that quarterly rebalancing periods offer better returns for the BWS.     

The effectiveness of international diversification: whole markets versus sectors

A hedging approach is used to examine the effect of sectoral factors on the effectiveness of international diversification. By using data covering seven countries and various sectors, we find that international diversification is more effective when assets from developed markets only are used and when multiasset portfolios are used instead two-asset portfolios. The results also reveal that international diversification across whole markets is more effective than diversification across sectors. These results reflect the pattern of return correlation.     

A reappraisal of the Meese–Rogoff puzzle

Several explanations have been put forward for the Meese–Rogoff puzzle that exchange rate models cannot outperform the random walk in out-of-sample forecasting. We suggest that a simple explanation for the puzzle is the use of the root mean square error (RMSE) to measure forecasting accuracy, presenting a rationale as to why it is difficult to beat the random walk in terms of the RMSE. By using exactly the same exchange rates, time periods and estimation methods as those of Meese and Rogoff, we find that their results cannot be overturned even if the models are estimated with time-varying coefficients. However, we also find that the random walk can be outperformed by the same models if forecasting accuracy is measured in terms of the ability to predict direction, in terms of a measure that combines magnitude and direction and in terms of profitability.