119 research outputs found

    Choice of the criteria of efficiency of innovative solutions

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    Measures of Predictive Success for Rating Functions

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    Aim of our paper is to develop an adequate measure of predictive success and accuracy of rating functions. At first, we show that the common measures of rating accuracy, i.e. area under curve and accuracy ratio, respectively, lack of informative value of single rating classes. Selten (1991) builds up an axiomatic framework for measures of predictive success. Therefore, we introduce a measure for rating functions that fulfills the axioms proposed by Selten (1991). Furthermore, an empirical investigation analyzes predictive power and accuracy of Standard & Poor's and Moody's ratings, and compares the rankings according to area under curve and our measure.Accuracy Measure, Rating Functions, Predictive Success, Discriminative Power

    Portfolio Management under Asymmetric Dependence and Distribution

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    Aim of our paper is to analyze the enhancement of portfolio management by using more sophisticated assumptions about distributions and dependencies of stock returns. We assume a skewed t-distribution of the returns according to Azzalini and Capitanio (2003) and a dependency structure following a Clayton copula. The risk measure applied to our portfolio selection changed from traditional portfolio variance to downside-oriented conditional value-at-risk. The empirical results show a superior performance of our approach compared to the Markowitz approach and to the approach proposed by Hatherley and Alcock (2007) on a risk-adjusted basis. The approach is applied on daily stock returns of 16 stocks of the EURO STOXX 50.Asymmetric Dependency, Copula, Skewed t-Distribution, Conditional Value-at-Risk, Portfolio Optimization

    Dividend Yield and Stability versus Performance at the German Stock Market

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    It is often examined in the literature whether the dividend yields of stocks correlate with their total returns. This paper analyzes the effect of dividend yield on return as well as on risk and on performance of stocks and stock portfolios. Not only the influence of dividend yield but also of dividend stability is subject of our analysis. Furthermore, tax aspects are considered. Our data set comprises daily adjusted stock prices and dividend payment data from the German capital market over the period 2000 to 2006. We use stocks from the HDAX, which include blue chips (DAX), stocks of medium-sized companies (MDAX), and stocks of technology firms (TecDAX). Our findings suggest that the performance generally improves with an increasing dividend yield. However, this result is rather based on risk reduction than on a higher return where risk reduction diminishes by increasing the degree of diversification.dividend yield, dividend stability, diversification, performance

    Determination of the essence of the economic security of the country

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    The study of existing approaches to the definition of the state’s economic security has allowed us to suggest that the state’s economic security is a state of the state’s economy, for which sustainable and scientifically based methods have been created to neutralize the negative impact of internal and external threats, the necessary conditions are created for the state’s sustainable socio-economic development economic interests and improving the welfare of citizens

    Measures of Predictive Success for Rating Functions

    Get PDF
    Aim of our paper is to develop an adequate measure of predictive success and accuracy of rating functions. At first, we show that the common measures of rating accuracy, i.e. area under curve and accuracy ratio, respectively, lack of informative value of single rating classes. Selten (1991) builds up an axiomatic framework for measures of predictive success. Therefore, we introduce a measure for rating functions that fulfills the axioms proposed by Selten (1991). Furthermore, an empirical investigation analyzes predictive power and accuracy of Standard & Poor\u27s and Moody\u27s ratings, and compares the rankings according to area under curve and our measure.Aim of our paper is to develop an adequate measure of predictive success and accuracy of rating functions. At first, we show that the common measures of rating accuracy, i.e. area under curve and accuracy ratio, respectively, lack of informative value of single rating classes. Selten (1991) builds up an axiomatic framework for measures of predictive success. Therefore, we introduce a measure for rating functions that fulfills the axioms proposed by Selten (1991). Furthermore, an empirical investigation analyzes predictive power and accuracy of Standard & Poor\u27s and Moody\u27s ratings, and compares the rankings according to area under curve and our measure

    Costs of capital under credit risk

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    Credit risk analysis represents a growing field in financial research since decades. However, in company valuation – to be more precise, in cost of capital computations – credit risk is merely taken into consideration at the level of the debt beta approach. Our paper proves that applications of the debt beta approach suffer from unrealistic assumptions. As an advantageous approach, we develop an alternative framework to determine costs of capital based on Merton’s model. We present (quasi-) analytic formulas for costs of equity and debt which are consistent with Modigliani-Miller theory in continuous-time and discrete-time settings without taxes. Our framework is superior to the debt beta approach regarding the quantity and quality of required data in peer group analysis. Since equity and debt are represented by options in Merton’s model, we compute expected option rates of return without resorting to betas. Thereby, our paper also contributes to the option pricing literature

    Portfolio Management under Asymmetric Dependence and Distributio

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    Aim of our paper is to analyze the enhancement of portfolio management by using more sophisticated assumptions about distributions and dependencies of stock returns. We assume a skewed t-distribution of the returns according to Azzalini and Capitanio (2003) and a dependency structure following a Clayton copula. The risk measure applied to our portfolio selection changed from traditional portfolio variance to downside-oriented conditional value-at-risk. The empirical results show a superior performance of our approach compared to the Markowitz approach and to the approach proposed by Hatherley and Alcock (2007) on a risk-adjusted basis. The approach is applied on daily stock returns of 16 stocks of the EURO STOXX 50
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