The short- and long-run impacts of financial crises on youth unemployment in OECD countries

The impact of financial crises on the youth unemployment rate (YUR), compared to the total unemployment rate (UR), is estimated for a panel of OECD countries over the period 1981–2009, using bias-corrected dynamic panel data estimators of short- and long-run coefficients. Both YUR and UR are found highly persistent. Also, short- and long-run effects of financial crises on YUR are significantly large, respectively, some 1.9 and 1.5–1.7 times higher than the short- and long-run effects on UR. Similar results are found for the unemployment impacts of GDP growth lagged 1 year and institutional variables. These results are robust to various dynamic specifications.     

Re-examining forward market efficiency Evidence from fractional and Harris-Inder cointegration tests

This article investigates the forward market efficiency by testing the unbiased forward exchange rate hypothesis using nine currencies vis-à-vis the U.S. dollar. The empirical tests are conducted using monthly data during the period between January 1985 and December 1996 and two different methods of cointegration tests, a fractional (GPH) test and the Harris-Inder test. The two cointegration tests are based on two different null hypotheses. Results provide ample evidence of cointegration between the spot and the forward rate, but little evidence of the unbiased rate hypothesis, which may be due to the nonstationary risk premium.     

Forecasting the weekly time-varying beta of UK firms: GARCH models vs. Kalman filter method

This paper investigates the forecasting ability of three different Generalised Autoregressive Conditional Heteroscedasticity (GARCH) models and the Kalman filter method. The three GARCH models applied are: bivariate GARCH, BEKK GARCH, and GARCH-GJR. Forecast errors based on 20 UK company's weekly stock return (based on time-varying beta) forecasts are employed to evaluate the out-of-sample forecasting ability of both the GARCH models and the Kalman method. Measures of forecast errors overwhelmingly support the Kalman filter approach. Among the GARCH models, GJR appears to provide somewhat more accurate forecasts than the two other GARCH models.     

Asian Currency Crisis and the Generalized PPP: Evidence from the Far East

The present paper investigates the effects of the Asian currency crisis of 1997–1998 on the generalized PPP between several real exchange rates of the Far East countries. Monthly log of real exchange rates of the currencies of Thailand, Malaysia, Indonesia, the Philippines and South Korea vis-à-vis the US dollar and the Japanese yen during 1990–2004 are applied in the investigation. Further tests are conducted between exchange rates vis-à-vis the Thai baht. Tests are conducted for periods before and after the crisis. Results from the Johansen method of multivariate cointegration show a substantial change in the relationship between these real exchange rates before and after the Asian currency crisis. This result is found using rates based on three currencies: US dollar, yen and baht.     

Common stochastic trends among Far East stock prices: Effects of the Asian financial crisis

This paper investigates empirically the change(s) in the long-run relationship(s) between the stock prices of eight Far East countries around the Asian financial crisis of 1997-98. Further tests are conducted to check the change in the influence of the Japanese and the US stock markets in the Far East Region before, during and after the crisis. Empirical investigation is conducted by means of rolling correlation coefficients, the Johansen multivariate cointegration method, causality tests and band spectrum regression. Results show significant long-run relationship(s) and linkage between the Far East markets before, during, and after the crisis. The most significant linkage and relationship are found during the crisis period. Results mostly indicate larger US influence in all periods but some evidence of increasing Japanese influence is also shown.     

Economic Policy Uncertainty and House Prices: Evidence from Geographical Regions of England and Wales

This article empirically investigates the effect of the economic policy uncertainty on house prices across 10 different geographical regions of England and Wales. The empirical study is conducted by means of the autoregressive distributed lag bounds cointegration test. Results show a stable long‐run relationship (cointegration) between house prices and its determinants (including economic policy uncertainty) in nine of the regions. Results also evince long‐ and short‐term negative effect of uncertainty to house prices. These results clearly indicate the importance of economic policy uncertainty in the determination of UK house prices and demand.     

Does liquidity drive stock market returns? The role of investor risk aversion

In this paper, we explore the relations between liquidity, stock returns, and investor risk aversion as captured by the variance risk premium (VRP). This is motivated by theoretical and empirical evidence in the literature which suggests that investor risk aversion negatively correlates with asset liquidity, and ample empirical evidence documenting liquidity risk premium. We use monthly US data from January 1999 to December 2018 and show that innovations in the VRP Granger-cause stock returns, which in turn drive liquidity. Our findings are consistent with predictions of prior theories and highlight the predictability of the VRP. They also contribute to the on-going debate on the causal relation between stock returns and liquidity. Finally, we explore the channels through which the VRP impacts liquidity and find that the VRP influences market and momentum factors, and that movements in these factors lead to changes in liquidity.

     

Time-varying beta and the Asian financial crisis: Evidence from the Asian industrial sectors

This paper empirically investigates the effects of the Asian financial crisis of 1997–98, and the period immediately afterwards, on the time-varying beta of four industrial sectors (chemical, finance, retail and industry) of Indonesia, Singapore, South Korea, and Taiwan. We apply daily data from 1992 to 2002 and the bivariate MA-GARCH model (BEKK) to create the time-varying industrial betas. Results provide evidence of the influence of the Asian financial crisis, and the period after, on the time-varying industrial betas of these countries. These results may have implications for investors who are interested in portfolio risk management.     

World War II events and the Dow Jones industrial index

This paper investigates which events of World War II (WWII) the US investors (at that time) considered as turning points (structural breaks) of the war. The empirical study employs daily Dow Jones industrial average stock index and volatility from January 1939 to December 1945 and applies structural shift oriented test to determine endogenously the structural breaks during the WWII period. Results show that the majority of the wartime events (on and off the battlefield) labelled important by historians did result in structural breaks in both price movement and stock returns volatility (risk). These results have major implications for investors of the present and future.