Target Price Accuracy
نویسندگان
چکیده
This study analyzes the accuracy of forecasted target prices which are disclosed by leading investment banks within their analysts’ reports on German stocks for the period from 2002 to 2004. We compute a measure for target price forecast accuracy that evaluates the ability of analysts to exactly forecast the ex-ante (unknown) 12-months stock price. Overall, the target price forecasting accuracy is 73.64%. Our main contribution is to determine factors that explain this target price accuracy. When focusing on analyst-specific differences, target price forecasts that highly deviate from current stock prices (since analysts are overly optimistic) are, ex-post, less accurate. On the contrary, target price forecasts issued by analysts who also provide a detailed rationale in their report are marginally more accurate compared to less thoroughly researched reports. With respect to firm-specific factors, analysts are more successful in forecasting 12-months stock prices for large companies. However, analysts do worse when forecasting target prices for highly volatile and risky stocks. Finally, we show that analysts working for highly reputable banks are more successful when issuing positive target price forecasts compared to the average analyst. Potential conflicts of interests between analyst and covered company, however, do not bias forecast accuracy.
منابع مشابه
Forecasting Crude Oil prices Volatility and Value at Risk: Single and Switching Regime GARCH Models
Forecasting crude oil price volatility is an important issues in risk management. The historical course of oil price volatility indicates the existence of a cluster pattern. Therefore, GARCH models are used to model and more accurately predict oil price fluctuations. The purpose of this study is to identify the best GARCH model with the best performance in different time horizons. To achieve th...
متن کاملA Manipulator Can Aid Prediction Market Accuracy
Prediction markets are low volume speculative markets whose prices offer informative forecasts on particular policy topics. Observers worry that traders may attempt to mislead decision makers by manipulating prices. We adapt a Kyle-style market microstructure model to this case, adding a manipulator with an additional quadratic preference regarding the price. In this model, when other traders a...
متن کاملManipulators Increase Information Market Accuracy
Information markets are low volume markets whose prices offer informative estimates on particular policy topics of interest. Observers have expressed concern that such prices might be less informative due to manipulators, i.e., traders who prefer that we see some policy estimates instead of others. We adapt a Kyle-style market microstructure model to the case of information markets, by assuming...
متن کاملForecasting Gold Price using Data Mining Techniques by Considering New Factors
Gold price forecast is of great importance. Many models were presented by researchers to forecast gold price. It seems that although different models could forecast gold price under different conditions, the new factors affecting gold price forecast have a significant importance and effect on the increase of forecast accuracy. In this paper, different factors were studied in comparison to the p...
متن کاملStock Price Prediction using Machine Learning and Swarm Intelligence
Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...
متن کامل