User Guide
Why can I only view 3 results?
You can also view all results when you are connected from the network of member institutions only. For non-member institutions, we are opening a 1-month free trial version if institution officials apply.
So many results that aren't mine?
References in many bibliographies are sometimes referred to as "Surname, I", so the citations of academics whose Surname and initials are the same may occasionally interfere. This problem is often the case with citation indexes all over the world.
How can I see only citations to my article?
After searching the name of your article, you can see the references to the article you selected as soon as you click on the details section.
  Citation Number 1
 Views 34
 Downloands 11
PAY PİYASALARINDA SÜRÜ DAVRANIŞININ TEST EDİLMESİ: BİST 30 ENDEKSİ ÖRNEĞİ
2020
Journal:  
PressAcademia Procedia
Author:  
Abstract:

Amaç- Çalışmada BİST 30 endeksinde devamlı olarak işlem gören 19 firmanın haftalık verileri kullanılarak 06.05.2012-27.09.2020 döneminde Christie ve Huang'ın (1995) ve Chang vd. (2000) yaklaşımı ile sürü davranışının test edilmesi amaçlanmıştır. Metodoloji- Çalışmada sürü davranışını tespit edebilmek Christie ve Huang'ın (1995) ve Chang vd. (2000) yaklaşımları kullanılmıştır. İlk olarak bağımlı değişken olan fiyat serilerine ilişkin yatay kesit mutlak sapmaları hesaplanmıştır. Bağımsız değişkenler, piyasa getirisinin %1 ve %5’ lik getiri dilimlerinin alt/üst uç değerleri için kukla değişken olarak atanmıştır. Ardından En Küçük Kareler ve Kantil Regresyon yöntemleri ile tahminleme yapılmıştır. Bulgular- En Küçük Kareler ve Kantil Regresyon yöntemleri ile yapılan tahminleme sonucunda, %1 getiri dilimi için β_1 katsayısı istatistiksel olarak anlamlı ve pozitif β_2katsayısı ise istatistiksel olarak anlamlı ve negatif olarak tespit edilirken, %5 getiri dilimi için her iki kat sayıda istatistiksel olarak anlamlı ve pozitif olarak tespit edilmiştir. Sürü davranışının varlığından söz ödebilmek için katsayıların istatistiksel olarak anlamlı ve negatif olması gerekmektedir. Bulgular sonucunda BİST 30 endeksinde devamlı olarak işlem gören 19 firmanın 2012-2020 döneminde %1’lik getiri dilimi için sürü davranışının varlığından söz edilebilmektedir. Sonuç- BİST 30 endeksinde devamlı olarak işlem gören 19 firmanın haftalık verileri kullanılarak 06.05.2012-27.09.2020 döneminde sürü davranışının tespit edilebilmesi için yapılan analizler sonucunda, ilgili dönemde %1’lik getiri dilimi için tamamen gözlemlenmemesine rağmen getirinin piyasanın üst uç değerlerinde bulunduğu dönemde sürü davranışının varlığından söz edilebilmektedir. Bu doğrultuda BİST 30 endeksine yatırım yapan yatırımcıların pay senedi fiyatları düşme eğiliminde olduğu zaman diğer yatırımcıların bilgilerine güvendikleri ve bu bilgiler ile yatırım yaptıkları söylenebilir.

Keywords:

Testing the duration behavior in the Pay Markets: BIST 30 Index Examples
2020
Author:  
Abstract:

Purpose- The study uses the weekly data of 19 companies that are constantly traded in the BIST 30 index in the period 06.05.2012-27.09.2020 by Christie and Huang (1995) and Chang vd. (2000) The aim of the approach is to test many behaviors. Methodology- Being able to identify many behaviors in the study by Christie and Huang (1995) and Chang etc. (2000) the methods are used. First, the horizontal cut absolute deviations in relation to the price series of dependent variables are calculated. Independent variables are assigned as doll variables for the lower/top end values of 1% and 5% of the market return. It was then predicted with the smallest squares and cantile regression methods. Results- As a result of the estimates made by the smallest squares and cantile regression methods, the β_1 ratio for the 1% return range is statistically meaningful and the positive β_2 ratio is statistically meaningful and negative, while the two-fold number for the 5% return range is statistically meaningful and positive. To consider the existence of a lot of behavior, the ratio must be statistically meaningful and negative. The findings result in the existence of numerous behaviors for the 1% revenue range in the period 2012-2020 of 19 companies that are continuously traded in the BIST 30 index. Result- using weekly data of 19 companies that are constantly traded in the BIST 30 index 06.05.2012-27.09. As a result of the analyses conducted to identify multiple behavior in the period 2020, it is possible to mention the existence of multiple behavior in the period where the revenue is at the top-end values of the market, although it is not fully observed for the 1% revenue range in the relevant period. In this regard, investors investing in the BIST 30 index may be said that when the share price tends to fall, they trust the information of other investors and invest with this information.

Keywords:

Testing For Herding Behavior In Stock Market: Bist 30 Index Example
2020
Author:  
Abstract:

Purpose- In the study, using weekly data of 19 companies that are constantly traded in the BIST 30 index, in the period 06.05.2012-27.09.2020, Christie and Huang's (1995) and Chang et al. (2000) approach was aimed to test herd behavior. Methodology- In the study test of herd behavior , Christie and Huang (1995) and Chang et al. (2000) approaches were used. First, as dependent variable cross-sectional absolute deviations for the price series are calculated. Independent variables are assigned as dummy variables for the lower/upper extreme values of 1% and 5% of the market return. Afterwards, estimations were made with Least Squares and Quantile Regression methods. Findings- As a result of the estimation made with Least Squares and Quantile Regression methods, While the coefficient of β_1 for the 1% return slice is statistically significant and the positive, coefficient β_2 as statistically significant and negative, for the 5% return slice, both times the coefficient are statistically significant and positive. The coefficients should be statistically significant and negative in order to pay to show the presence of herd behavior. As a result of the findings, it can be mentioned that 19 firms that are constantly traded in the BIST 30 index have herd behavior for a 1% return slice in the 2012-2020 period. Conclusion- As a result of the analyzes made to determine herd behavior in the period of 06.05.2012-27.09.2020 by using weekly data of 19 companies that are continuously traded in the BIST 30 index, the existence of herd behavior in the relevant period observed. Accordingly, it can be said that investors investing in the BIST 30 index trust the information of other investors when their stock prices tend to fall and invest with this information.

Keywords:

Citation Owners
Attention!
To view citations of publications, you must access Sobiad from a Member University Network. You can contact the Library and Documentation Department for our institution to become a member of Sobiad.
Off-Campus Access
If you are affiliated with a Sobiad Subscriber organization, you can use Login Panel for external access. You can easily sign up and log in with your corporate e-mail address.
Similar Articles












PressAcademia Procedia

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Ulusal

Metrics
Article : 1.150
Cite : 706
2023 Impact : 0.044
PressAcademia Procedia