|  An 
                    Empirical Study on Analyzing how Fund Managers in India Analyze 
                    Financial Reports with Special Focus on Quality of Reported 
                    Earning 
                   -- 
                  Ruzbeh 
                    J Bodhanwala 
                   Fund 
                    managers are primarily responsible for the performance of 
                    mutual funds. However, very little is known as to how they 
                    decide their investments and disinvestments. The present study 
                    therefore focuses on empirically testing and form hypothetical 
                    portfolios on the bases of ratios fund managers use for portfolio 
                    formation. Thirty six fund managers from eighteen industries 
                    participated in the study. It was found that fund managers 
                    rely primarily on financial statement analysis and key fundamental 
                    variables namely Book to market ratio (B/M) and Price earning 
                    ratio (P/E). For the analysis purpose, they use Balance Sheet, 
                    Income Statement, Profit After Tax. Further, fund managers 
                    regarded financial risk, quality of disclosure in the annual 
                    report by the management, predictability of earnings and corporate 
                    growth prospects as the primary determinants of their decisions. 
                    Many fund managers emphasized on the quality of earning (QE). 
                    The results were analyzed using Kolmogorov-Smirnov test.  © 
                    2006  IUP . All Rights Reserved.                      Determinants 
                    of Equity Prices: A Study of Select Indian Companies  -- Monica Singhania  In 
                    the last one and a half decades, many emerging capital markets 
                    have undergone drastic changes in terms of market microstructure 
                    changes, specifically in secondary markets. One of the policy 
                    concerns is the factors determining equity prices in markets. 
                    The author studies the various determinants of equity share 
                    prices with reference to Indian stock market. The mean values 
                    have shown that during the period 1997 to 2004, the market 
                    price was far lower due to various uncertainties prevailing 
                    in the country. The correlation analysis shows positive significant 
                    (1%) association of only price earnings ratio with market 
                    price. Book value, dividend cover, DPS, EPS and growth are 
                    positive but insignificant. At the same time, there is negative 
                    insignificant association of yield with market price (MP). 
                    While regression analysis depicts that book value, dividend 
                    per share, earnings per share and price earnings ratio are 
                    significant determinants, whereas, dividend cover and yield 
                    are insignificant with negative value. Growth remained insignificant 
                    but with positive value. Finally, it can be concluded from 
                    correlation and regression analysis that price earnings ratio, 
                    earnings per share, book value and dividend cover are the 
                    variables, which contributed the most in determining share 
                    prices followed by dividend per share and yield.  © 
                    2006  IUP . All Rights Reserved.                      Extremal 
                    Index and Clustering in the Extreme Values: A Study on NSE 
                    CNX Nifty  -- Basabi Bhattacharya 
                    and Debashis Dutta  Financial 
                    Integration of global markets has influenced volatility of 
                    stock market of individual countries, which has evinced much 
                    interest in identification of clusters of extreme values of 
                    financial returns series of specific stock indices. The estimation 
                    of extremal index, commonly interpreted as the reciprocal 
                    of the mean number of exceedances in a cluster, extends a 
                    key role in analyzing the observed volatile behavior of the 
                    stock indices. Such analysis was earlier done by estimation 
                    of clustered extreme values by a class of processes like GARCH. 
                    This paper has applied extremal index approach and compares 
                    it with traditional approaches, using simulation from a GARCH 
                    process. It studies the financial returns series of NSE CNX 
                    Nifty, the leading stock Index of National Stock Exchange 
                    of India and assesses empirically the relative performance 
                    of the estimators of different methods for identification 
                    of clustering of extreme values of NSE CNX Nifty returns series. 
                    lt is found that the two threshold method performs better 
                    than run estimator method in low level of threshold.  © 
                    2006  IUP . All Rights Reserved.                     |