The objective of this empirical research is to analyze the risk-return through financial ratios as determinants of stock price in ASEAN region. To address this purpose, business firms from Malaysia, Indonesia, Thailand and Singapore are selected with a sample of 10 firms in each state over 2012 to 2016. Multiple regression technique is applied to analyze the relationship between financial ratios and stock prices. It is observed that current ratio, quick ratio, assets growth, return on assets, return on equity, return on capital employed, and price to earning ratio are significant determinants of stock price. Although this study is a reasonable addition in existing literature of financial ratios as determinants of stock price. However, contribution of the study can be viewed through covering a gap from the context of ASEAN region, which is under reserachers attentions for stock price determinants. Core limitations of the study covers limited number of sample size and five years of time duration. Besides, some ratios are missing which can be reconsidered in upcoming studies. These ratios include debt ratios, interest payment ratios, and fixed cost covered ratios as well.
Special features that options include are the main reason of their growing amounts trading in the financial markets. Options can be used in many imaginative ways to create various attractive investment opportunities. Empirical researches all over the world illustrated that options incorporate an insurance element not available in any other security and because of that they can be used by investors to create return distributions unobtainable with the strategy of allocating funds between fixed income securities and stock portfolios. But investor must understand that one of the main aspects of profitable trading in derivative securities is their proper evaluation and pricing. As the exact valuation of options is quite difficult, the article deals with the theoretical and practical aspects of pricing of options. The purpose of the research is to adopt Monte Carlo simulation method to predict prices of plain vanilla options and to compare them to real option prices and option prices calculated using analytical Black-Scholes formula.
Technical and fundamental analyses are the two investment making decisions widely spread all around the world. The financial crisis of 2008-2009 had a negative impact on the decisions of the Lithuanian investors to choose stock as the best investment option. However, national economics is cyclical and after recession recovery follows. Production volumes are anticipated to increase seeing that analysts forecast further GDP growth. Due to this reason, additional funding for the successful performance of enterprises will be required. Therefore, financial resources must be attracted by issuing new volumes of stocks. On the other hand, the successful performance of an issuer has a positive influence on the stock price in the market which is the subject of forecast made by the investors of Lithuania. Positive changes of stock prices in the market are partially influenced by the expectations of investors that stock prices will grow rapidly in the future. However, this feature is not known and can only be forecasted using different econometric models. At the theoretical level scientists disagree about the effectiveness of the methods used by the Lithuanian investors. Recently technical and fundamental analyses became popular among investors, though there is not much research done in order to test the effectiveness of the applicability of these methods in the Lithuanian stock market. With reference to the above mentioned information, this research is aimed to determine whether it is possible to forecast stock prices by estimating the financial ratios of a particular company. Due to this reason, a link between the return of a stock price and the financial ratios of the selected companies will be evaluated using correlation and covariance as the main analytical tools. Appropriate conclusions and suggestions are provided after obtaining reliable empirical results.