This study is aimed to examine the impact of US News and exchange rate exposure on emerging economies of Pakistan, China, Turkey and Iran. Daily exchange rates have been used for the period Jan 1, 2003 to Dec 31, 2018 to identify the volatility in exchange rate exposure due to news effect. US News is modeled with variance equation respectively for each country exchange rate. GARCH (1,1) by Bollerslev (1986), and EGARCH (1,1) by Nelson (1991) models have been used to estimate the volatility of exchange rate dynamics. Results indicate that impact of US News is significantly positive on the exchange rate of Pakistan and China and the results of US news impact on Turkey and Iran are insignificant. Present study is helpful for investors, financial analysts and economic decision makers for understanding the changing dynamics of exchange rate volatility.

The study examines the volatility spillover between selected emerging Asian and developed stock markets. Moreover, the study analyzes the impact of the financial crisis on volatility spillover between the stock markets. This study used monthly observations for the period 2001-01 to 2017-12 on three emerging markets of Pakistan, China, India and three developed markets of Hong Kong, Japan and the US. First, the asymmetric volatility transmission between the stocks is analyzed by extended EGARCH representation. The study found the existence of asymmetric volatility spillovers throughout the financial crisis. The researcher estimated the VECM granger causality test in the next step. The outcomes revealed existence of bidirectional spillover between Pakistan and India, the US to Japan and Hong Kong. Unidirectional relationship was found from Pakistan and the US to Hong Kong, India to the US and Hong Kong to China. Overall, the results suggest a significant relationship between emerging and developed markets due to integration.

Theory of overconfidence states that investors are highly overconfident when valuing the stocks. Self-attribution has been found by the researchers as the root cause for overconfidence bias in investors. Investors attribute the high stock prices and returns with their own art of picking up the stocks, and thus they trade more frequently. In order to test overconfidence and self-attribution Vector Autoregressive (VAR) model has been employed to find out the long-term relationship between endogenous variables: market return and market turnover and exogenous variables: volatility and dispersion. Results revealed that there exists a strong positive relationship between market returns and trading turnover. Also, the crosssectional standard deviation in market prices i-e volatility and the cross-sectional variation in stock returns i-e dispersion has a very strong impact on trading pattern and returns. Since investment decisions made by Pakistani investor largely depend upon psychological factors, giving less weightage to all the fundamentals, the trading pattern exhibited may collectively tend the market behave in an irrational manner.

In this study, the researchers observed the impact of Brexit on the Pound and its spillover to other European countries, likely to be affected during that period. The intraday high-frequency hourly return data of chief monies as Great Britain Pound (GBP), Euro (EUR), Danish Krone (DDK), Hungarian Forint (HUF), Turkish Lira (TRY), Swiss Franc (CHF), Swedish Krona (SEK), and Polish Zloty (PLN), for two months and one day, was utilized. The Intraday volatility spillover index approach and a further rolling window technique applied. The analysis of high-frequency data revealed that four currency pairs as TRY/USD, DKK/USD, PLN/USD, and HUF/USD, are highly volatile currencies. However, three pair currencies as GBP/USD, EUR/USD, and SEK/USD, are comparatively lesser volatile. The results and managerial implications reflect preparedness dynamics and proactiveness for a new continuum project that regional transmission effects of volatility spread from one currency to other currencies in the EU during Brexit.