PREDICTING STOCK RETURNS USING FUNDAMENTAL INFORMATION AND MULTIVARIATE STATISTICAL MODELLING: AN EMPIRICAL STUDY ON ISTANBUL STOCK EXCHANGE
Öz
This paper performs a financial analysis that combines a set of fundamental information into a summarv measure which predicts the return of stocks bv usin2 logit analysis, The findings suggest that the predictive power of financial ratios is verv high and more important than the fundamental information. but the variables (ratios) of logit models are not stable from one period to another. Also it is found that there is a statistically significant correlation benveen the observed and predicted ranking. We conclude that developing a more general model for prediction might solve the problem about unstable variables, but the general model has verv limited ability of ranking the stocks according to their perfonnance.
Anahtar Kelimeler
Kaynakça
- Ağaoğlu, E. A. (1989) Türkiye' de Banka İşletmelerinin Ekonomik Analizi ve Gelişme Eğilimleri. Unpublished Ph.D. Thesis. Ankara.
Ayrıntılar
Birincil Dil
Türkçe
Konular
-
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
31 Aralık 2000
Gönderilme Tarihi
1 Ocak 2000
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2000 Cilt: 18 Sayı: 2