This paper seeks to explore the impact of oil price shocks, real industrial production and interest rate on stock prices for six oil exporting countries and five oil importing countries using nonlinear autoregressive distributed lags (NARDL)model using monthly data for the period 1993 :...

We investigate the influence of US quality of political signals (USQPOLS) on advanced and emerging markets using the Global Vector Autoregressive (GVAR) model that also accommodates the macroeconomic conditions of the shock recipient markets. We show an immediate negative impact on the equity...

The present study empirically examines the importance of foreign portfolio investment (FPI) or hot money from certain investor(s) or country(s) on Malaysian economic performance. In methodology, the study uses vector error correction (VECM) model of FPI inflows from major investors such as the...

This study examines the existence of herd behavior among foreign investors in the Malaysian capital market. In methodology, the study analyzes the herd behavior by estimating vector error correction (VECM) model of FPI inflows as well as FPI outflows from/to major investors such as the United...

We employ multifractal detrended fluctuation analysis (MF-DFA) to provide the first look at the efficiency of forex markets during the initial period of ongoing COVID-19 pandemic, which has disrupted the financial markets globally. We use high frequency (5-min interval) data of six major...

Stationarity of hedge ratios can be viewed as a first step for portfolio hedging since it represents that the sensitivity of spot and futures returns follow a process whose main characteristics do not depend on time. However, we provide evidence that the hedge ratios of the main European stock...

This paper aims to explore links between the Indian stock market and three developed Asian markets (i.e. Hong Kong, Japan and Singapore). The index prices are non-stationary so we used cointegration methodologies in order to explore interdependencies. Johansen methodologies reject the hypothesis...

In this paper, we introduce a volatility-based method for clustering analysis of financial time series. Using the generalized autoregressive conditional heteroskedasticity (GARCH) models we estimate the distances between the stock return volatilities. The proposed method uses the volatility...

Purpose – Economic cross-linkages and the increased co-movement of asset prices across international markets are important outcomes as the result of globalization. Hereby, the nature of international stock markets and the extent to which the 1997-1998 East Asian turmoil had affected the market...