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Dive into the research topics where G. Mujtaba Mian is active.

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Featured researches published by G. Mujtaba Mian.


Applied Financial Economics | 2001

Volatility dynamics in high frequency financial data: an empirical investigation of the Australian equity returns

G. Mujtaba Mian; Christopher M. Adam

The behaviour of volatility for intraday high frequency returns of the ASX equity index is examined. It is found that volatility of the Australian equities follows an L-shaped curve over the trading day that is distinct from the U-shaped pattern commonly documented by previous studies on other markets. While GARCH model remains useful in capturing volatility clustering for high frequency returns, the intraday deterministic volatility seasonals need to be carefully accounted for before carrying out an analysis of the volatility dynamics. Moreover, the frequently documented asymmetric effect of positive and negative shocks to volatility disappears for returns recorded at higher frequencies.


Archive | 2008

Investor Sentiment and Stock Market Response to Corporate News

Srinivasan Sankaraguruswamy; G. Mujtaba Mian

We examine whether market-wide investor sentiment influences the stock price response to firm-specific news. We use the recently developed measure of investor sentiment by Baker and Wurgler (2006, 2007) and focus on the stock price response to earnings announcements. Our results indicate that the prevailing sentiment sways stock price response to news in the direction of the sentiment - the positive stock price response to good news increases with sentiment, whereas the negative stock price response to bad news decreases with sentiment. The influence of sentiment on the stock price response is especially pronounced for small stocks, young stocks, volatile stocks, non-dividend paying stocks and distressed stocks. We find that sentiment also impacts the stock price response to dividend changes and stock split announcements.


Australian Journal of Management | 2000

Does More Market-Wide Information Originate While an Exchange is Open: Some Anomalous Evidence from the ASX

G. Mujtaba Mian; Christopher M. Adam

The common belief based on accumulated evidence from the US and Japan is that most price-relevant information originates while financial markets are in operation. In this paper, we present evidence from the Australian Stock Exchange (ASX) that contradicts this view. We find that a larger proportion of the information affecting the Australian equities in fact arrives during the overnight closing period of the ASX. We develop and implement tests to understand this puzzle. The results indicate that the primary source of this anomalous finding is the dominant influence of the information originating in the US, where businesses and exchanges open and close during the overnight period of the ASX.


Journal of Financial Economics | 2006

Do Accurate Earnings Forecasts Facilitate Superior Investment Recommendations

Roger K. Loh; G. Mujtaba Mian


The Accounting Review | 2012

Investor Sentiment and Stock Market Response to Earnings News

G. Mujtaba Mian; Srinivasan Sankaraguruswamy


Journal of Financial Markets | 2009

The value of combining the information content of analyst recommendations and target prices

Joshua Huang; G. Mujtaba Mian; Srinivasan Sankaraguruswamy


Journal of Business Finance & Accounting | 2003

The Quality of Analysts' Earnings Forecasts During the Asian Crisis: Evidence from Singapore

Roger K. Loh; G. Mujtaba Mian


Pacific-basin Finance Journal | 2004

Do errors in expectations explain the cross-section of stock returns?

G. Mujtaba Mian; Terence G.L Teo


Archive | 2005

Mutual Fund Herding and Dispersion of Analysts' Earnings Forecasts

Kalok Chan; Chuan-Yang Hwang; G. Mujtaba Mian


Archive | 2005

Who Follows the Prophets? Analysts' Stock Recommendations and the Trading Response of Large and Small Traders

Wen He; G. Mujtaba Mian; Srinivasan Sankaraguruswamy

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Christopher M. Adam

University of New South Wales

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Roger K. Loh

Singapore Management University

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Wen He

University of Queensland

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Suresh Radhakrishnan

University of Texas at Dallas

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Chuan-Yang Hwang

Nanyang Technological University

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