Predicting short-term stock fluctuations by using processing fluency
نویسندگان
چکیده
منابع مشابه
Predicting short-term stock fluctuations by using processing fluency.
Three studies investigated the impact of the psychological principle of fluency (that people tend to prefer easily processed information) on short-term share price movements. In both a laboratory study and two analyses of naturalistic real-world stock market data, fluently named stocks robustly outperformed stocks with disfluent names in the short term. For example, in one study, an initial inv...
متن کاملPredicting Short Term Stock Returns
As the capital markets evolve and expand, more and more data is being created daily. This explosion of data has made the flow of information much more efficient. As market participants act on this information flow, it drives market prices to more efficient values, . One of the driving forces in this march to efficiency, is the application of various algorithmic learning techniques on both marke...
متن کاملPredicting carcinogenicity by using batteries of dependent short-term tests.
Among the various methods for predicting carcinogenicity from a battery of short-term tests (STTs), the carcinogenicity prediction and battery selection (CPBS) procedure is the most prominent. A major assumption of CPBS is that the STTs used in the prediction are conditionally independent. Results of recent National Toxicology Program studies of four commonly used in vitro STTs contradict this ...
متن کاملStock Market Fluctuations and the Term Structure
This paper uses the term structure of interest rates to explain the variations of stock prices and stock returns. It shows that interest rates have an important impact on stock returns, especially at long horizons. The hypothesis that expected stock returns move one-for-one with ex ante interest rates, which has been rejected in other studies using short horizon nominal asset returns, is suppor...
متن کاملVoiced/Unvoiced Detection using Short Term Processing
A new method for identifying voiced and unvoiced speech region is proposed. Voiced/unvoiced speech detection is needed to extract information from the speech signal and it is important in the area of speech analysis. Voiced and unvoiced speech region has been identified using Short Term Processing (STP) in this paper. Short Term Processing of speech has been performed by viewing the speech sign...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2006
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.0601071103