7 resultados para Present-value

em Digital Commons at Florida International University


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The most important factor that affects the decision making process in finance is the risk which is usually measured by variance (total risk) or systematic risk (beta). Since investors’ sentiment (whether she is an optimist or pessimist) plays a very important role in the choice of beta measure, any decision made for the same asset within the same time horizon will be different for different individuals. In other words, there will neither be homogeneity of beliefs nor the rational expectation prevalent in the market due to behavioral traits. This dissertation consists of three essays. In the first essay, “ Investor Sentiment and Intrinsic Stock Prices”, a new technical trading strategy was developed using a firm specific individual sentiment measure. This behavioral based trading strategy forecasts a range within which a stock price moves in a particular period and can be used for stock trading. Results indicate that sample firms trade within a range and give signals as to when to buy or sell. In the second essay, “Managerial Sentiment and the Value of the Firm”, examined the effect of managerial sentiment on the project selection process using net present value criterion and also effect of managerial sentiment on the value of firm. Final analysis reported that high sentiment and low sentiment managers obtain different values for the same firm before and after the acceptance of a project. Changes in the cost of capital, weighted cost of average capital were found due to managerial sentiment. In the last essay, “Investor Sentiment and Optimal Portfolio Selection”, analyzed how the investor sentiment affects the nature and composition of the optimal portfolio as well as the portfolio performance. Results suggested that the choice of the investor sentiment completely changes the portfolio composition, i.e., the high sentiment investor will have a completely different choice of assets in the portfolio in comparison with the low sentiment investor. The results indicated the practical application of behavioral model based technical indicator for stock trading. Additional insights developed include the valuation of firms with a behavioral component and the importance of distinguishing portfolio performance based on sentiment factors.

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Most research on stock prices is based on the present value model or the more general consumption-based model. When applied to real economic data, both of them are found unable to account for both the stock price level and its volatility. Three essays here attempt to both build a more realistic model, and to check whether there is still room for bubbles in explaining fluctuations in stock prices. In the second chapter, several innovations are simultaneously incorporated into the traditional present value model in order to produce more accurate model-based fundamental prices. These innovations comprise replacing with broad dividends the more narrow traditional dividends that are more commonly used, a nonlinear artificial neural network (ANN) forecasting procedure for these broad dividends instead of the more common linear forecasting models for narrow traditional dividends, and a stochastic discount rate in place of the constant discount rate. Empirical results show that the model described above predicts fundamental prices better, compared with alternative models using linear forecasting process, narrow dividends, or a constant discount factor. Nonetheless, actual prices are still largely detached from fundamental prices. The bubblelike deviations are found to coincide with business cycles. The third chapter examines possible cointegration of stock prices with fundamentals and non-fundamentals. The output gap is introduced to form the nonfundamental part of stock prices. I use a trivariate Vector Autoregression (TVAR) model and a single equation model to run cointegration tests between these three variables. Neither of the cointegration tests shows strong evidence of explosive behavior in the DJIA and S&P 500 data. Then, I applied a sup augmented Dickey-Fuller test to check for the existence of periodically collapsing bubbles in stock prices. Such bubbles are found in S&P data during the late 1990s. Employing econometric tests from the third chapter, I continue in the fourth chapter to examine whether bubbles exist in stock prices of conventional economic sectors on the New York Stock Exchange. The ‘old economy’ as a whole is not found to have bubbles. But, periodically collapsing bubbles are found in Material and Telecommunication Services sectors, and the Real Estate industry group.

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The most important factor that affects the decision making process in finance is the risk which is usually measured by variance (total risk) or systematic risk (beta). Since investors' sentiment (whether she is an optimist or pessimist) plays a very important role in the choice of beta measure, any decision made for the same asset within the same time horizon will be different for different individuals. In other words, there will neither be homogeneity of beliefs nor the rational expectation prevalent in the market due to behavioral traits. This dissertation consists of three essays. In the first essay, Investor Sentiment and Intrinsic Stock Prices, a new technical trading strategy is developed using a firm specific individual sentiment measure. This behavioral based trading strategy forecasts a range within which a stock price moves in a particular period and can be used for stock trading. Results show that sample firms trade within a range and show signals as to when to buy or sell. The second essay, Managerial Sentiment and the Value of the Firm, examines the effect of managerial sentiment on the project selection process using net present value criterion and also effect of managerial sentiment on the value of firm. Findings show that high sentiment and low sentiment managers obtain different values for the same firm before and after the acceptance of a project. The last essay, Investor Sentiment and Optimal Portfolio Selection, analyzes how the investor sentiment affects the nature and composition of the optimal portfolio as well as the performance measures. Results suggest that the choice of the investor sentiment completely changes the portfolio composition, i.e., the high sentiment investor will have a completely different choice of assets in the portfolio in comparison with the low sentiment investor. The results indicate the practical application of behavioral model based technical indicators for stock trading. Additional insights developed include the valuation of firms with a behavioral component and the importance of distinguishing portfolio performance based on sentiment factors.

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Just as all types of business firms are now expected to go beyond their profit-oriented activities in boosting the well-being of the community, so, too, is corporate social responsibility (CSR) expected from foodservice firms. The significance of the obesity epidemic, combined with the foodservice industry's role in the development of this epidemic, suggests that the industry has an ethical responsibility to implement CSR activities that will help reduce obesity, particularly among children. CSR should be seen as an efficient management strategy through which a firm voluntarily integrates social and environmental concerns into its business operations and its interactions with stakeholders. Although costs are associated with CSR initiatives, benefits accrue to the firm. Decisions regarding alternative CSR activities should be based on a cost-benefit analysis and calculation of the present value of the revenue stream that can be identified as resulting from the specific CSR activities. CSR initiatives should be viewed as long-term investments that will enhance the firms’ value. Key areas for foodservice firms' CSR activities include marketing practices, particularly practices impacting advertising to children and marketing that will enhance the firms’ visibility; portion-size modification; new-product development; and consistent nutrition labeling on menus.

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Most research on stock prices is based on the present value model or the more general consumption-based model. When applied to real economic data, both of them are found unable to account for both the stock price level and its volatility. Three essays here attempt to both build a more realistic model, and to check whether there is still room for bubbles in explaining fluctuations in stock prices. In the second chapter, several innovations are simultaneously incorporated into the traditional present value model in order to produce more accurate model-based fundamental prices. These innovations comprise replacing with broad dividends the more narrow traditional dividends that are more commonly used, a nonlinear artificial neural network (ANN) forecasting procedure for these broad dividends instead of the more common linear forecasting models for narrow traditional dividends, and a stochastic discount rate in place of the constant discount rate. Empirical results show that the model described above predicts fundamental prices better, compared with alternative models using linear forecasting process, narrow dividends, or a constant discount factor. Nonetheless, actual prices are still largely detached from fundamental prices. The bubble-like deviations are found to coincide with business cycles. The third chapter examines possible cointegration of stock prices with fundamentals and non-fundamentals. The output gap is introduced to form the non-fundamental part of stock prices. I use a trivariate Vector Autoregression (TVAR) model and a single equation model to run cointegration tests between these three variables. Neither of the cointegration tests shows strong evidence of explosive behavior in the DJIA and S&P 500 data. Then, I applied a sup augmented Dickey-Fuller test to check for the existence of periodically collapsing bubbles in stock prices. Such bubbles are found in S&P data during the late 1990s. Employing econometric tests from the third chapter, I continue in the fourth chapter to examine whether bubbles exist in stock prices of conventional economic sectors on the New York Stock Exchange. The ‘old economy’ as a whole is not found to have bubbles. But, periodically collapsing bubbles are found in Material and Telecommunication Services sectors, and the Real Estate industry group.

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The exile leaving his or her homeland for new and unknown territory travels with much more than just luggage and the clothes on his or her back. He or she carries a weighty collection of memories. Available for the exile in times when the harmony of the past is far removed from the difficult circumstances present during the process of cultural assimilation, these memories present an opportunity for the exile to fashion for him or herself an identity that mimics the realities of life in the home left behind. In this creative endeavor, I seek to examine the powerful potential of memory as it is exercised by a collection of Cubans and Cuban-Americans in different corners of the United States. Analyzing Achy Obejas’ Memory Mambo, Cristina García’s Dreaming in Cuban, Ana Menéndez’s In Cuba I Was a German Shepherd, and Elías Miguel Muñoz’s Brand New Memory, I aim to trace the suggestive potential of memory as it is used by each of the characters in these works in an effort to reconcile their Cuban identities with the ones that are in the process of creation in the U.S. I will borrow from a collection of literature dealing with identity and exile, relevant graduate-level theses on Cuban-American literature, as well as theoretical perspectives on memory formation and nostalgia in order to trace the various ways in which memory is relied on in the process of cultural assimilation and emotional coping. Being presented in Miami, which hosts the largest concentration of Cuban immigrants, this thesis aims to present itself as a reflective tool for Cubans and Cuban-Americans who may find value in seeing their personal sentiments portrayed in literature, thus allowing for a potential reevaluation of identity. If the existing literature on my topic of analysis reveals anything, it is that the scope of my project is one that has not been inspected previously, thus making my analytical contribution a new one that will add a new interpretive set of lens through which readers of contemporary Cuban-American literature can examine the works.

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The exile leaving his or her homeland for new and unknown territory travels with much more than just luggage and the clothes on his or her back. He or she carries a weighty collection of memories. Available for the exile in times when the harmony of the past is far removed from the difficult circumstances present during the process of cultural assimilation, these memories present an opportunity for the exile to fashion for him or herself an identity that mimics the realities of life in the home left behind. In this creative endeavor, I seek to examine the powerful potential of memory as it is exercised by a collection of Cubans and Cuban-Americans in different corners of the United States. Analyzing Achy Obejas’ Memory Mambo, Cristina García’s Dreaming in Cuban, Ana Menéndez’s In Cuba I Was a German Shepherd, and Elías Miguel Muñoz’s Brand New Memory, I aim to trace the suggestive potential of memory as it is used by each of the characters in these works in an effort to reconcile their Cuban identities with the ones that are in the process of creation in the U.S. I will borrow from a collection of literature dealing with identity and exile, relevant graduate-level theses on Cuban-American literature, as well as theoretical perspectives on memory formation and nostalgia in order to trace the various ways in which memory is relied on in the process of cultural assimilation and emotional coping. Being presented in Miami, which hosts the largest concentration of Cuban immigrants, this thesis aims to present itself as a reflective tool for Cubans and Cuban-Americans who may find value in seeing their personal sentiments portrayed in literature, thus allowing for a potential reevaluation of identity. If the existing literature on my topic of analysis reveals anything, it is that the scope of my project is one that has not been inspected previously, thus making my analytical contribution a new one that will add a new interpretive set of lens through which readers of contemporary Cuban-American literature can examine the works.