2.0 FINANCIAL RATIOS 2 Liquidity Ratios Liquidity ratios measure a business ’ capacity to pay its debts as they come due. It also measures the cooperative’s ability to meet short-term obligations. Liquidity refers to the solvency of the firm’s overall financial position – the ease with which it can pay its bills. Because a common precursor to financial distress and bankruptcy is low or declining liquidity‚ these ratios can provide early signs of cash flow problems and impending
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Ratio Analysis Ratio analysis is basically used to understanding the financial health of a business entity. With the help of ratios we can easily calculate from current year performance of the companies and are then compared to previous years. Ratio analysis conducts a quantitative analysis of information in a company’s financial statements. These Ratios are most commonly used in banking sector can be divided into five main categories Liquidity Ratios Leverage Ratios Profitability Ratios Activity
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for their children is allow them to be who they were born to be.” In both Amy Tan’s Two Kinds and W.H. Auden’s The Average‚ the protagonist’s parents work for their children to lead great lives‚ which the children in turn reject because they see themselves as average; however in Two Kinds the protagonist’s negative self-image comes from a desire to spite her mother‚ whereas in The Average it stems from the protagonist’s aspiration for an ordinary life. In both works the protagonist’s parents come from
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17‚ 2013 The article‚ “The Sharpe Ratio and the Information Ratio”‚ by Deborah Kidd is about the original risk-adjusted performance measure and they are Sharpe ratio and the Information Ratio. William Sharpe designed the first performance metric to insolate excess return per unit of total risk taken. The Sharpe ratio shows whether a portfolio ’s returns are due to smart investment decisions or a result of excess risk. The Sharpe ratio measure dividends average portfolio excess return over the sample
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Current Ratio Interpretation From the calculation of the current ratio it is evident that the company’s current ratio for the year 2010 is 1.30:1 ‚2011 is 1.80:1‚ 2012 is 1.54:1 and 2013 is a 1‚53:1‚ that is company’s current assets in year 2013 was Rs. 1.53 for every 1Re of current liability‚ while in the year 2012 the current asset was Rs 1.54 Re of its current liability‚ while in the year 2011 the current assets was Rs 1.80 Re of its current liability‚ and while in the year 2010 the
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Current Ratio 2012 (‘000) 2013 (‘000) (Current Asset)/(Current Liabilities) (Current Asset )/( Current Liabilities) = (RM 308‚510)/RM161‚786 = RM337‚728/(RM 222‚768) = 1.91 : 1 = 1.52 : 1 The table above shows that Dutch Lady has a decreased
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Ratio decidendi and obiter dicta Learning objectives At the end of this module‚ you will be able to: * distinguish between ratio decidendi and obiter dicta. * apply well-established rules to identify the ratio decidendi in a decision. This module is intended as a useful exercise in revision. If you are certain that you understand how to discover the ratio in an opinion‚ you should skim lightly over this material. What is the ratio decidendi? As you probably recall from your studies
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A PROJECT REPORT ON AN ANALYSIS & COMPARATIVE STUDY OF FINANCIAL STATEMENTS FOR KALYANI STEELS LTD.‚ PUNE SUBMITTED TO UNIVERSITY OF PUNE IN PARTIAL FULFILMENT OF TWO YEARS FULL TIME COURSE MASTERS IN BUSINESS ADMINISTRATION(MBA) SUBMITTED BY KETAN P. SHETTI (BATCH 2005-07) VISHWAKARMA INSTITUTE OF MANAGEMENT‚ PUNE-48 1 To Whomsoever It May Concern This is to certify that Mr. Shetti Ketan Prakash is a bonafide student of Vishwakarma Institute of Management‚ Pune. He has successfully
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OPERATING & FINANCIAL PERFORMANCE OF THE COMPANY PROFITABILITY RATIOS * Gross Profit marging Gross ProfitSales×100% 2010/2011 2009/2010 = (171‚325‚029/435‚759‚776) *100 = (59‚257‚454/327‚593‚843)*100 = 39.3164% = 18.0887% * Profit Margin = NPBT * 100 Sales 2011/2012 2010/2011 = (41‚896‚089/ 435‚759‚776)
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Limitations: Regression analysis is a commonly used tool for companies to make predictions based on certain variables. Even though it is very common there are still limitations that arise when producing the regression‚ which can skew the results. The Number of Variables: The first limitation that we noticed in our regression model is the number of variables that we used. The more companies that you have to compare the greater the chance your model will be significant. We have found that
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