This study examines the impact of the foreign exchange rate, i.e., US Dollar to Indian Rupee (USD/INR) on the Indian Stock Market Index (Nifty 50) during the demonetization of high denomination Indian currencies. A daily rate of return of Foreign exchange rate (USD/INR) and the Indian Stock Market Index (Nifty 50) were considered for the study. The Dummy variable was used to measure the effect of demonetization during Nov/Dec 2016. The period of study was restricted to 243 days from 1st April 2016 to 31st March 2017. The study reveals that there was an upward trend observed in the Indian Stock Market and the Indian currency was strengthened with the decrease in the Foreign exchange rate (USD/INR).

Determination of the correct mix of dividend and retained earnings and its effect on profitability has been a subject of controversy in financial management literature. This paper seeks to contribute to the ongoing debate by examining the relationship between dividend payout policy and the financial performance of 60 firms listed on the National Stock Exchange between 2009-2018. The Return on Assets (ROA) served as a surrogate for the dependent variable, profitability, while the Dividend Pay-out ratio proxied for dividend policy and was the only explanatory variable. Control variables include firm size, asset tangibility, and leverage. Regression result reveals a positive and significant relationship between dividend payout policy (DPO) and firm performance (ROA). It is recommended that companies should endeavor to put in place a robust dividend payout policy that would encourage investment in projects that give positive Net Present Value.

The study focuses on the Impact of Environmental Accounting on the Profitability of Companies listed on the Bombay Stock Exchange. The study has considered the Amount spent on Environmental protection as an Independent variable and Return on Capital Employed, Return on Assets, Return on Net worth/equity, Net Profit Margin, and Dividend per Share as the Dependent variable. The present study is to analyses the relationship between Amounts spent on Environmental protection costs and Return on Capital Employed, Return on Assets, Return on Net worth/equity, Net Profit Margin, and Dividend per Share. The data is collected from 18 companies listed on the Bombay Stock Exchange for 10 years from the Annual reports of companies. The data collected were analysed using Panel data Regression in E-Views. Results revealed that there is a significant Relationship between Environmental protection Cost and Return on Capital Employed, Return on Assets, Return on Net worth/equity, Net Profit Margin, and Dividend per Share. The study shows that Environmental accounting impact positively on Firms profitability.

The study focuses on the Impact of Employment Benefit Cots on the Profitability of Companies listed in the National Stock Exchange. The study has considered the Amount spent on Employment Benefit Cots as an Independent variable and Profit after tax, Total Assets, Return on Equity, and Return on Asset and Debt equity Ration as the Dependent variable. The present study is to analyses the relationship between Employment Benefit Cots and Profit after tax, Total Assets, Return on Equity, Return on Asset, and Debt equity Ration. The data is collected from 20 companies listed on the National Stock Exchange for 10 years from the Annual reports of companies. The data collected were analyzed using Panel data Regression in E-Views. Results revealed that there is a significant Relationship between Employment Benefit Cots and Profit after tax, Total Assets, Return on Equity, Return on Asset, and Debt equity Ration. The study shows that Employment Benefit Cots impact positively on Firms profitability.

Abstract The exchange rate is one of the most important factors for the economic growth of any country, it has a direct effect on international trade. The present study investigates the impact of macroeconomic factors (Current Account Deficit (CAD), Import, Export, and Purchasing Power Parity (PPP)) on Exchange Rate Volatility (USD to INR) in India. To analyze how this variable has a relationship in the long and short run with the exchange rate. Data from 1980 to 2016 has been considered for analysis by applying the ADF test, Stationarity Testing, Stability Test, Johansen Co-integration test, Granger Causality test to know how the variables are affecting the Exchange rate and the ARIMA method of forecasting has been used for forecasting the future movement of exchange rates for 20 years. The result shows us there exists a long relationship and in the short run, it could be said that CAD and Import and PPP have a positive impact on the exchange rate and export has a negative impact on the exchange rate. CAD of the country is controlled automatically Exchange rate will be controlled and it will also reduce the impact on all other variables

Current research helps in understanding both positive and negative impacts of capital structure on profits of Indian automobile companies by using variables like Return on Capital Employed, Return on Long Term Funds, Return on Net Worth, Gross Profit Margin, and Operating Profit, and Return on Asset. The study hypothesized that RoCE, RoLT, and RoNW have a positive effect and GP, OP and ROA have a negative impact on debt-equity and interest coverage ratios i.e capital structure of the companies. Also, the study proves that the relationship between profitability and capital structure variables is strongly significant. The hypothesis was tested by using fixed effect and random effect models by considering 10 years of data (from 2010-2019) from 17 automobile companies. The result of the study recommends that the firms can improve their performance by using an optimal capital structure. Also, a fair mix of debt and equity should be established to ensure that the firm maintains capital adequacy. Firms can thus be able to meet their financial compulsions and investments that can promise attractive returns.

The study investigates the impact of downsizing layoffs on the profitability of construction industries listed in BSE India. In India, construction industries have adopted downsizing long back in the organization to improve the firms performance. For the purpose of the study, Secondary data of 15 Construction companies listed in BSE India have been considered for a period of 10 years from FY.2010 to FY2019. Data has been taken from the companys official website. The variable considered for the analysis is Other Expenses, Returns on Net Worth, Employee Expenses, Number of Employees, and Profit Per Employee. The study has used the Co-integration test to see co-integration between the variables, Ordinary Least Square (OLS) and Vector Auto Regression (VAR) the model used for estimating the impact of downsizing on the profitability of construction companies. OLS and VAR model has been used to draw a conclusion based on the P values and R square. From the result, it can be concluded that, Expect Profit Per Employees are the downsizing variable that has no significant impact on the profitability of the firms performance. Whereas the other Downsizing variables Employee Expenses and the Number of Employee has a significant impact on the profitability of the firms performance

Stock market returns are the profit/loss the investors generate out of their investment in the stock market. These returns are dependent on various micro-economic and macro-economic factors. The present study analyses the micro-economic factors (financial ratios) that affects stock return which will provide a parameter for investors to decide about their investment. For the purpose of empirical study 12 firms of Fast Moving Consumer Goods (FMCG) sector and 6 firms of pharmaceutical sector which are trading on the NSE (National Stock Exchange) is selected and is studied for the period 2010-2017. The effect of financial ratios namely, DPS (Dividend Per Share), EPS (Earning Per Share), CR (Current Ratio), QR (Quick Ratio), ROE (Return on Equity), ROA (Return on Asset), DER (Debt to Equity Ratio), PBV (Price to Book Value), DPR (Dividend Pay-out Ratio), DYR (Dividend Yield Ratio) on stock returns is analysed using panel data analysis. This study uses Panel Vector Auto Regression Model (PVAR). In order to specify the appropriate estimation method of our PVAR Models, we employed Hausman test. Accordingly, our PVAR Models are estimated with fixed effects. The study found out that the price-book value, dividend per share has a significant impact on stock returns. The results of Wald test showed that there is a short run relationship between PBV, EPS, DPS, ROA and SR.

From April, 2012-March, 2017, the 5 years Government Bond rised by 200 basis points and is continuing to rise from thereafter.Many banks have profited handsomely from this rise in interest rates.Since, interest rates cannot continue to rise indefinitely, there can be a question.Is the banking system adequately prepared for a scenario with change in interest rates?In this study, investigation has been made on the effects of interest rates volatility on stock market returns using daily returns on stocks of 20 selected commercial banks which includes public sectors and private sector banks over the period from 1st April, 2012 -31st March, 2017.In this study, 'augmented market model' has been used to estimate, the elasticity of returns on the stock against returns on the stock market.To estimate short and long term zero coupon bonds among variables, weekly data for the period ranging from April, 2012 to March, 2017 have been analyzed by applying GARCH Model.The repressors used in this model can be interpreted as the return on a portfolio where the long bond is purchased using borrowed funds at the short rate.The return on selected banks and market return required for the study are obtained from the NSE website.We created time-series of notional bond returns on the 28 days and the 10 year zero coupon bond, priced off the NSE zero coupon yield curve for short term and long term returns, respectively.The results indicate that interest rates have a strong positive power for stock returns and weak predictive power for volatility by using GARCH Model.It has been found that out of 20 banks in our sample would be gained or lost 30% of equity capital in the event of a 200 bps move in the yield curve.The stock market sensitivities suggest that there is strong heterogeneity across banks in India in their interest rate exposure.The stock market is unaware of interest rate risk when valuing bank stocks.

Materials management is the integral core of the real estate construction industry, which holds more than 60% of the over all cost of the project. Numerous research have been conducted in the field of construction projects, it revealed that most of the projects turned the blind eye towards the materials management techniques. Poor system of materials management can increase the overall cost and delay of planned schedule, shortage of materials will also lower the labour productivity. This study is aimed to ensure the effective management and control of materials to achieve the overall increased productivity by implementation of ABC analysis, VED analysis, HML analysis, EOQ analysis and S-curve technique for clear understanding, managing and controlling the inventory materials. The results showed the significant improvement, better control and understanding using the inventory control techniques. The study suggested that quantity of materials should be planned and procured based on ABC analysis, VED analysis, HML analysis and EOQ analysis according to there priority and weightage. S-curve analysis provides the complete cost control of entire project by comparing and understanding the deviation between the Planned cost and Actual cost which improves the overall productivity of the project by minimizing the waste.

Emerging markets such as India provide investors with returns far greater than those in developed markets; taking the average returns from the period 1995 to 2014 the returns are 4.714% to 3.276% of the developed market. The majority of emerging markets commenced joining with the capital market of the world, thus allowing a huge inflow of capital which in turn paved the path for economic growth. Even though the emerging markets provide high returns these may also be an indication of a bubble formation. Detection of a bubble is a tedious task primarily due to the fundamental value of the security being uncertain, and the randomness of the fundamentals of the market makes detecting bubbles an arduous task. Ratios that foretold the financial crisis of 2007- Market Capitalization to GDP, Price to Earnings Ratio, Price to Book Value, Tobins Q. Data is collected from 1999-2000 from various Indian indices such as NIFTY 50, NIFTY NEXT 50, NIFTY BANK, NIFTY 500 S and PBSE SENSEX, S and P BSE 100. The paper utilizes the ratios mentioned above to detect and backtrack various bubble episodes in the Indian market; the methodology used is the Philips et al 2015 right-tailed unit test. The paper is also inclined to take steps to mitigate the effects of a bubble by amending the financial policies and the monetary liquidity of the financial system.

This study examines the impact of dividend policy on the performance of initial public offerings in India. The period of study is from the year 2011-2014. Monthly returns of the IPOs issued in the considered period and the Indian Stock Market Index (Nifty 50) were considered for the long-run performance study. The methodological tools used are long-run performance statistics and the GARCH model. The Dummy variable was used to measure the effect of dividends on the IPOs. The study reveals that the dividend policy has no significant effect on the stock prices of IPO.

Numerous research has taken place on FDI (Foreign Direct Investment) in various pattern on their own views. This study is to develop a model to analyse whether all the macro-economic factors have an impact on Foreign Direct Investment inflows in India. The study was tested by analysing the 10 macro variables including foreign direct investment inflows from the period 1986-2016. By analysing various research reviews conducted by past researchers the study has come up with a model which says all the factors are not contributing for inflows of foreign funds to India. The results of the study suggests that India should concentrate more on some of the macro-economic factors and policies in order to have an inflows of good foreign funds.

The work expatiated on the concept of financial performance and its analysis. It also captured relevant stakeholders for financial performance information. The review sought to encapsulate the existing state of knowledge on financial performance evaluations from previously published works. It also highlighted gaps in the reviewed literatures. Two dimensions of existing literature were explored; namely financial performance of companies, regardless of the location or industry, as well as those specific to companies in Ghana and particularly to the telecommunications sector. Of all the existing works reviewed, 54 percent captured literature in the first category described above and the remaining 46 percent was on the second category. It was revealed after the review, that three different methodologies or approaches were adopted in evaluating financial performance of firms. The first approach employed the use of financial ratios either overtime within firm, or between different firms for comparative analysis. Another strand of the surveyed works examined the impacts of selected indicators like capital structure and operational practices like Just-In-Time (JIT) systems on financial performance. A third approach employed metrics from internal key performance indicators to examine a firm’s financial performance. It was ascertained that majority of existing literatures in the field and on the topic deployed the first two approaches.

The paper targets to explore on the impact of BANKNIFTY derivatives transaction on spot market volatility in India. The scope is confined will equity future contracts. The period of study from 1 st April, 2010 to 31 st March, 2017, is chosen to observe the influence of trading the derivatives on volatility of spot market after global financial crisis. The data for stocks comprises of daily closing prices of near month contract and also equity market. The methods used are descriptive statistics, ADF test and GARCH model. The volatility is declined for BANKNIFTY stocks. But the diagnostic checking concludes that serial correlation and ARCH effects are desirable for the model.