Stock price contagion effects through investment banks

2021 ◽  
pp. 1-19
Author(s):  
Yanan Zhang ◽  
Bing Zhu
Keyword(s):  
Stock Price ◽  
Investment Banks ◽  
Contagion Effects

scholarly journals Stock Price Contagion Effects of Low-Quality Audits at the Individual Audit Partner Level

2018 ◽  
Vol 38 (2) ◽  
pp. 151-178 ◽  
Author(s):  
Ferdinand A. Gul ◽  
Chee Yeow Lim ◽  
Kun Wang ◽  
Yanping Xu
Keyword(s):  
Financial Reporting ◽  
Stock Price ◽  
Personal Characteristics ◽  
Time Lapse ◽  
Share Price ◽  
Cross Sectional ◽  
Contagion Effects ◽  
Audit Firms ◽  
Stock Market Valuation ◽  
The Individual

SUMMARY We use Chinese audit partner data to show that partners associated with financial reporting fraud induce share price declines among non-fraudulent firms audited by the same audit partners. In cross-sectional analyses, we find that share price declines are more pronounced when low-quality partners (LQPs) failed to issue modified audit opinions during the period in question and when the LQPs were from one of the Top 10 audit firms. Additional analyses show that investors impose larger penalties on contagion firms when fraudulent firms are larger and the time lapse between sanction and fraud commitment is shorter. The personal characteristics of LQPs (except gender) do not cause a difference in market reaction to contagion firms. Overall, our results speak to the importance of audit partner identity to stock market valuation. JEL Classifications: M41; M42; M48.

scholarly journals Dampak Multivariat Volatility, Contagion dan Spillover Efiect Pasar Keuangan Global terhadap Indeks Saham dan Nilai Tukar Rupiah di Indonesia

2011 ◽  
Vol 11 (2) ◽  
pp. 117-134
Author(s):  
Nuning Trihadmini ◽  
Pudjiastuti B. S. W
Keyword(s):  
Exchange Rates ◽  
Stock Price ◽  
Financial System ◽  
Price Volatility ◽  
Spillover Effects ◽  
External Factors ◽  
System Stability ◽  
Stock Price Volatility ◽  
Contagion Effects ◽  
Exchange Rates Volatility

There are several factors influencing the financial system stability, namely the internal and the external factors. The occurrence of stock price volatility internationally, the contagion effects and the spillover effects are some external factors that have effect on the financial system stability. This research aims to know the dynamic relationship of regional and global stocks market in international financial system, and then do the analysis of the occurrence of contagion effects and spillover effects on stock price, and see their influence on domestic economics, monetary policy and financial system stability, by GARCH-VAR model.The results of this research indicate that there are some domination of the mature financial market to regional and domestic market. Moreover, the nearby regional stock price index also have a big contribution to the movement of other regional stock price market. The impact of stock price volatility to the IDR exchange rates volatility is relatively small, but not to the price level which is significantly large. Data analysis shows that there is contagion effects in stock market, but the spillover effect from stock price volatility to exchange rates volatility does not occur.

scholarly journals Co-Integration and Contagion Effect in Republic of Tiongkok and Asean Stock Market during The Economic Slowdown in Republic of Tiongkok

2020 ◽  
Vol 9 (3) ◽  
pp. 327-339
Author(s):  
Nur Chalimah ◽  
Rini Setyo Witiastuti
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Secondary Data ◽  
The Philippines ◽  
Test Results ◽  
Contagion Effect ◽  
Contagion Effects ◽  
Economic Slowdown ◽  
Relationship Of ◽  
The Relationship

This study aims to find empirical evidence of the relationship of co-integration and contagion effect on the stock market in the People's Republic of Tiongkok and ASEAN during economic slowdown in the People's Republic of Tiongkok in 2015-2017. The samples in this study were the stock market of the People's Republic of Tiongkok, Indonesia, Laos, Malaysia, the Philippines, Singapore, Thailand and Vietnam. The data used in the study are secondary data from the Composite Stock Price Index obtained from www.bloomberg.com. The research method used in this study is Vector Autoregression (VAR). The test results show that economic slowdown in the People's Republic of Tiongkok has no effect on the average JCI of the People's Republic of Tiongkok and ASEAN. There is co-integration in the average JCI of the People's Republic of Tiongkok and ASEAN. The average Indonesian JCI is not affected by the JCI average of the People's Republic of Tiongkok and ASEAN. There is contagion effect on the average JCI of the People's Republic of Tiongkok and ASEAN. Based on the results of the study it were concluded that co-integration and contagion effects occurs on the average JCI in the People's Republic of Tiongkok and ASEAN when economic slowdown occurs.

Crisis Phones - Suicide Prevention Versus Suggestion/Contagion Effects

Crisis ◽  
2015 ◽  
Vol 36 (3) ◽  
pp. 220-224 ◽  
Author(s):  
Steven Stack
Keyword(s):  
Suicide Prevention ◽  
Contagion Effects ◽  
Long Term Impact

Abstract. Background: There has been no systematic work on the short- or long-term impact of the installation of crisis phones on suicides from bridges. The present study addresses this issue. Method: Data refer to 219 suicides from 1954 through 2013 on the Skyway Bridge in St. Petersburg, Florida. Six crisis phones with signs were installed in July 1999. Results: In the first decade after installation, the phones were used by 27 suicidal persons and credited with preventing 26 or 2.6 suicides a year. However, the net suicide count increased from 48 in the 13 years before installation of phones to 106 the following 13 years or by 4.5 additional suicides/year (t =3.512, p < .001). Conclusion: Although the phones prevented some suicides, there was a net increase after installation. The findings are interpreted with reference to suggestion/contagion effects including the emergence of a controversial bridge suicide blog.

Closeness, reactance, and goal contagion effects

2007 ◽  
Author(s):  
Tanya L. Chartrand ◽  
Pontus Leander ◽  
James Y. Shah
Keyword(s):  
Contagion Effects

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

Family Firms and Stock Price Crash Risk

2019 ◽  
Vol 10 (4) ◽  
pp. 77-86
Author(s):  
Hae-Young Ryu ◽  
Soo-Joon Chae
Keyword(s):  
Stock Price ◽  
Family Firms ◽  
Crash Risk

Using Machine Learning Algorithms on Prediction of Stock Price

2020 ◽  
Vol 12 (2) ◽  
pp. 84-99
Author(s):  
Li-Pang Chen
Keyword(s):  
Machine Learning ◽  
Stock Price ◽  
Short Term Memory ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Short Term ◽  
Learning Techniques ◽  
Historical Database ◽  
Long Short Term Memory

In this paper, we investigate analysis and prediction of the time-dependent data. We focus our attention on four different stocks are selected from Yahoo Finance historical database. To build up models and predict the future stock price, we consider three different machine learning techniques including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN) and Support Vector Regression (SVR). By treating close price, open price, daily low, daily high, adjusted close price, and volume of trades as predictors in machine learning methods, it can be shown that the prediction accuracy is improved.

Sign in / Sign up

Export Citation Format

Share Document