The Study of Nonlinear Correlation between Shanghai, Hongkong and American Stock Returns An Empirical Analysis Based on MS-VAR Model and MS-DCC-MVGARCH Model

2014 ◽  
Author(s):  
Decai Zhou ◽  
Xiaoyong Lu ◽  
Liying Lei ◽  
Bixuan Fu
2010 ◽  
Vol 42 (4) ◽  
pp. 731-741 ◽  
Author(s):  
Marco A. Palma ◽  
Luis A. Ribera ◽  
David Bessler ◽  
Mechel Paggi ◽  
Ronald D. Knutson

This study investigates the potential impacts of food safety outbreaks on domestic shipments, imports, and prices of the produce industry. Three case studies were analyzed to assess these potential impacts: the cantaloupe outbreak of March–April 2008, the spinach outbreak of September 2006, and the tomato outbreak of June–July 2008. Data-determined historical decompositions were conducted to provide a weekly picture of domestic shipment, import, and price fluctuation transmissions. The empirical analysis based on a vector autoregression (VAR) model showed differences in the results depending on the source of the outbreak (domestic vs. imported).


2019 ◽  
Vol 10 (6) ◽  
pp. 14
Author(s):  
Chikashi Tsuji

This study empirically examines the return transmission effects between the four North and Latin American stock markets in the US, Canada, Brazil, and Mexico. More specifically, applying a standard vector autoregression (VAR) model, we obtain the following interesting findings. First, (1) the return transmission effects between the four North and Latin American stock markets became much tighter in our second subsample period. Second, (2) in particular, US and Mexican stock markets are strong return transmitters in the recent period. Furthermore, (3) both in our first and second subsample periods, Brazilian stock returns do not transmit to the other three stock returns, although the other three North and Latin American stock markets affect the Brazilian stock market.


2010 ◽  
Vol 26 (1) ◽  
pp. 17-35
Author(s):  
임종관 ◽  
고병욱 ◽  
김우호
Keyword(s):  

2008 ◽  
Vol 48 ◽  
Author(s):  
Igoris Belovas ◽  
Audrius Kabašinskas ◽  
Leonidas Sakalauskas

Relationships between financial instruments are very important in practical portfolio management. Under the assumption of stability, when the second moment does not exist, traditional relationship measures cannot be applied. In this paper we introduce new general correlation measures. Results of the empirical analysis of the selected equities from Baltic States market are given as an example.


Sign in / Sign up

Export Citation Format

Share Document