Money-Income Relationships between Three ERM Countries

This paper investigates the monetary interdependence and the money-income relationship between countries under a pegged and a floating exchange rate system during the same time period (1979-1997). The relationship is tested between three ERM countries, France, Germany and Holland, and also between these countries and the United States. The ERM countries have a pegged exchange rate between themselves, and the rate between these countries and the United States is freely floating. The empirical tests are conducted by means of the Johansen multivariate cointegration method and the error correction model. Among the ERM countries, international transmission of monetary policy is found in almost all directions. This may provide evidence against the theory of German domination of the EMU. In the second set of tests, the United States money is found to affect all three European incomes but not vice versa.monetary policy; cointegration; error correction; speed of adjustment; exchange rate

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

This paper forecast the weekly time-varying beta of 20 UK firms by means of four different GARCH models and the Kalman filter method. The four GARCH models applied are the bivariate GARCH, BEKK GARCH, GARCH-GJR and the GARCH-X model. The paper also compares the forecasting ability of the GARCH models and the Kalman method. Forecast errors based on return forecasts are employed to evaluate out-of-sample forecasting ability of both GARCH models and Kalman method. Measures of forecast errors overwhelmingly support the Kalman filter approach. Among the GARCH models both GJR and GARCH-X models appear to provide a bit more accurate forecasts than the bivariate GARCH model

Money-income relationships between three ERM countries

This paper investigates the monetary interdependence and the money-income relationship between countries under a pegged and a floating exchange rate system during the same time period (1979-1997). The relationship is tested between three ERM countries, France, Germany and Holland, and also between these countries and the United States. The ERM countries have a pegged exchange rate between themselves, and the rate between these countries and the United States is freely floating. The empirical tests are conducted by means of the Johansen multivariate cointegration method and the error correction model. Among the ERM countries, international transmission of monetary policy is found in almost all directions. This may provide evidence against the theory of German domination of the EMU. In the second set of tests, the United States money is found to affect all three European incomes but not vice versa

Do Stock Returns Hedge against High and Low Inflation? Evidence from Brazilian Companies

This paper investigates the relationship between stock returns and inflation using monthly data from ten Brazilian firms and the general Brazilian stock market. The period under investigation, 1986-2008, includes periods of unstable high inflation (1986-1994) and stable low inflation (1994-2008). Standard linear regressions are applied to estimate the relationship after testing first for the stochastic structure of the variables. Results indicate that stock returns do act as a hedge against high inflation but fail to act against low inflation. Variance decomposition tests indicate innovations to the inflation rate affect the movement of the stock returns during the total period and the high inflation period.

Forecasting the Daily Dynamic Hedge Ratios in Emerging European Stock Futures Markets: Evidence from GARCH models

This paper empirically estimates and forecasts the hedge ratios of three emerging European and one developed stock futures markets by means of seven different versions of GARCH model. The seven GARCH models applied are bivariate GARCH, GARCH-ECM, BEKK GARCH, GARCH-DCC, GARCH-X, GARCH-GJR and GARCH-JUMP. Daily data during January 2000-July 2014 from Greece, Hungary, Poland and the UK are applied. Forecast errors based on these four stock futures portfolio return forecasts (based on forecasted hedge ratios) are employed to evaluate out-of-sample forecasting ability of the seven GARCH models. The comparison is done by means of Model Confidence Set (MCS) and modified Diebold-Mariano tests. Forecasts are conducted over two nonoverlapping out-of-sample periods, a two-year period and a one-year period. MCS results indicate that the GARCH model provides the most accurate forecasts in five cases, while each of the GARCH-ECM, GARCH-X and GARCH-GJR models constitutes model confidence set in four cases at a reasonable confidence level. Models selection based on modified Diebold-Mariano tests further corroborate results of the MCS tests. Differences between the portfolio returns also indicate the high forecasting ability of GARCH-BEKK and GARCH-GJR models

UK House Prices – Connectedness or Ripple Effect?

The performance of the housing market is currently considered a measure of economic activity. This research explores the connectedness vs. the ripple effect hypothesis in the current house pricing literature. Using linear causality and nonlinear causality tests we show significant bidirectional dependence between the London house prices and other UK regions’ house prices except for Northern Ireland and Wales in contrast to the existing literature where more evidence of ripple effect is reported. Furthermore, linear and non-linear forecasting tests back these results. This result has important implications for policymakers and investors

An Econometric Investigation of Hedging Performance of Stock Index Futures in Korea: Dynamic versus Static Hedging

Employing daily data of stock index and stock index futures, this paper empirically investigates the hedging effectiveness of time-varying hedge ratios of emerging futures markets using South Korea as a case. This paper employs eight variants of GARCH models to estimate the hedge ratios along with the conventional methods, and compares the hedging effectiveness of these estimated hedge ratios across model specifications using both within-sample and out-of-sample forecasting performances. In contrast to recent research findings, hedging performance based on a conventional OLS method outperforms the GARCH class models

The global financial crisis and the European single market: The end of integration?

Using various versions of the Feldstein-Horioka (FH) coefficient, we measure the time-varying degree of capital mobility and economic integration in the European Union. Prior research shows high correlation between domestic investment and savings implying low capital mobility. This surprising result has led to subsequent research on the ‘Feldstein-Horioka puzzle’. Our empirical findings show that the puzzle is less puzzling with a coefficient of 0.52 in the period 1990-1995 in EU countries approaching its minimum value of 0.02 in the period 2003-2008. This clearly indicates that the FH coefficient is time-varying signalling a deepening of economic integration in the European Union. Yet, with the advent of the Global Financial Crisis the FH coefficient has increased to 0.26 underlining worrying signs of disintegration

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. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature

Loss sensitive investors and positively biased analysts in Hong Kong stock market

Abstract: The Hong Kong stock market is known to be highly volatile. Professional investors have a strong demand for timely information because of the infrequent nature of Hong Kong analysts’ interim reports (Cheng et al., 2003). Our paper provides a comprehensive study of investor reactions to analysts’ recommendations in the Hong Kong stock market from 2009 to 2014 under different sentiment scenarios. We find that analysts’ recommendation upgrades and downgrades deliver significant information to the Hong Kong stock market. However, analysts’ initiation coverages convey little information and bring about limited impact to the stock market. In addition, analysts’ upgrades and downgrades result in significant differential price impacts in bullish and the bearish phases