Using economic and financial information for stock selection
نویسندگان
چکیده
A major inconvenience of the traditional approach in portfolio choice, based upon historical information, is its inability to anticipate sudden changes of price tendencies. Introducing information about future behavior of the assets fundamentals may help to make more appropriate choices. However the specification and parameterization of a model linking this exogenous information to the asset prices is not straightforward. Classification trees can be used to construct partitions of assets of forecasted similar behavior. We analyze the performance of this approach and apply it to different sectors of the S&P500.
منابع مشابه
Ranking and Managing Stock in the Stock Market Using Fundamental and Technical Analyses
The stock selection problem is one of the major issues in the investment industry, which is mainly solved by analyzing financial ratios. However, considering the complexity and imprecise patterns of the stock market, obvious and easy-to-understand investment rules, based on fundamental analysis, are difficult to obtain. Fundamental and technical analyses are two common methods for predicting th...
متن کاملRanking and Managing Stock in the Stock Market Using Fundamental and Technical Analyses
The stock selection problem is one of the major issues in the investment industry, which is mainly solved by analyzing financial ratios. However, considering the complexity and imprecise patterns of the stock market, obvious and easy-to-understand investment rules, based on fundamental analysis, are difficult to obtain. Fundamental and technical analyses are two common methods for predicting th...
متن کاملExplain the role of financial knowledge of board members and CEO independence on the quality of accounting information in companies listed on the Tehran Stock Exchange
Among the main factors in creating fundamental changes in the economic environment of Iran, we can name the generalization of ownership of economic enterprises, financing through public participation and privatization of public sectors and economic enterprises. In such circumstances, the transparency and good quality of financial information, which is the basis of optimal economic decisions of ...
متن کاملMachine learning algorithms for time series in financial markets
This research is related to the usefulness of different machine learning methods in forecasting time series on financial markets. The main issue in this field is that economic managers and scientific society are still longing for more accurate forecasting algorithms. Fulfilling this request leads to an increase in forecasting quality and, therefore, more profitability and efficiency. In this pa...
متن کاملAnalysis of the Impact of Economic Growth and Asymmetric Information of Capital Market of Iran on Investors\' Confidence: A Multivariate GARCH approach
The stock exchange, as part of the capital market, in case of necessary conditions, can equip national capital and direct it towards economic growth. A secure environment for investment and information asymmetry are considered to be the features of a good business, in which managers are working towards stockholders. This research seeks to investigate whether information asymmetry of financial m...
متن کاملStock Market Modeling Using Artificial Neural Network and Comparison with Classical Linear Models
Stock market plays an important role in the world economy. Stock market customers are interested in predicting the stock market general index price, since their income depends on this financial factor; Therefore, a reliable forecast in stock market can be extremely profitable for stockholders. Stock market prediction for financial markets has been one of the main challenges in forecasting finan...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Comput. Manag. Science
دوره 5 شماره
صفحات -
تاریخ انتشار 2008