scholarly journals The Impact of Credit Risk and Implied Volatility on Stock Returns

2010 ◽  
Author(s):  
Florian Steiger
Keyword(s):  
Credit Risk ◽  
Stock Returns ◽  
Implied Volatility ◽  
The Impact

scholarly journals The impact of the leverage effect on the implied volatility smile: evidence for the German option market

2020 ◽  
Author(s):  
A. W. Rathgeber ◽  
J. Stadler ◽  
S. Stöckl
Keyword(s):  
Stock Returns ◽  
Implied Volatility ◽  
Ad Hoc ◽  
Simulation Studies ◽  
Volatility Smile ◽  
Theoretical Derivation ◽  
Data Set ◽  
Unique Data ◽  
Theoretical Predictions ◽  
The Impact

Abstract It is a widely known theoretical derivation, that the firm’s leverage is negatively related to volatility of stock returns, although the empirical evidence is still outstanding. To empirically evaluate the leverage we first complement previous simulation studies by deriving theoretical predictions of leverage changes on the volatility smile. Even more important, we empirically test these predictions with an event study using intra-day Eurex option data and a unique data set of 138 ad-hoc news. For our theoretically derived predictions we observe that changes in leverage of DAX companies from 1999 to 2014 cause significant changes to the implied volatility smile.

The Impact of Dividend Announcement on Stock Returns

2016 ◽  
Vol 7 (1) ◽  
pp. 46
Author(s):  
Naik Priyanka Umesh ◽  
Nezvila Tracy Saldanha ◽  
Y. V. Reddy
Keyword(s):  
Stock Returns ◽  
The Impact

The Impact of Oil Price Fluctuations on Industry Stock Returns: Evidence from International Markets

2018 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Elias Randjbaran ◽  
Reza Tahmoorespour ◽  
Marjan Rezvani ◽  
Meysam Safari
Keyword(s):  
Stock Returns ◽  
Oil And Gas ◽  
Negative Relationship ◽  
The United States ◽  
Oil Price ◽  
Price Variation ◽  
Price Changes ◽  
Price Fluctuations ◽  
Food And Beverage ◽  
The Impact

This study investigates the impact of oil price variation on 14 industries in six markets, including Canada, China, France, India, the United Kingdom, and the United States. Panel weekly data were collected from June 1998 to December 2011. The results indicate that price fluctuations primarily affect the Oil and Gas as well as the Mining industries and have the least influence on the Food and Beverage industry. Furthermore, in three out of six of these countries (Canada, France, and the U.K.), oil price changes negatively affect the Pharmaceutical and Biotechnology industry. One possible reason for the negative relationship between oil price changes and the Pharmaceutical and Biotechnology industries in the above-mentioned countries is that the governments of these countries fund their healthcare systems. Portfolio managers and investors will find the results of this study useful because it enables adjusting portfolios based on knowledge of the industries that are impacted the most or the least by oil price fluctuations.

The Impact of Daily Return Limit and Segmented Clientele on Stock Returns in China

2010 ◽  
Author(s):  
Haim Kedar-Levy ◽  
Xiaoyan Yu ◽  
Akiko Kamesaka ◽  
Uri Ben-Zion
Keyword(s):  
Stock Returns ◽  
Daily Return ◽  
The Impact

The Impact of Jump Distributions on the Implied Volatility of Variance

2014 ◽  
Author(s):  
Elisa Nicolato ◽  
Camilla Pisani ◽  
David Sloth
Keyword(s):  
Implied Volatility ◽  
The Impact

The Impact of COVID-19 on Supply Chain Credit Risk

2020 ◽  
Author(s):  
Senay Agca ◽  
John R. Birge ◽  
Zi'ang Wang ◽  
Jing Wu
Keyword(s):  
Supply Chain ◽  
Credit Risk ◽  
The Impact

scholarly journals The impact of the COVID-19 outbreak on Chinese-listed tourism stocks

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Wenmin Wu ◽  
Chien-Chiang Lee ◽  
Wenwu Xing ◽  
Shan-Ju Ho
Keyword(s):  
Stock Returns ◽  
Cultural Differences ◽  
Stock Price ◽  
Negative Impact ◽  
Tourism Industry ◽  
Regression Analyses ◽  
Short Term ◽  
Tourism Sector ◽  
Event Study Method ◽  
The Impact

AbstractThis research explored the effects of the coronavirus disease (COVID-19) outbreak on stock price movements of China’s tourism industry by using an event study method. The results showed that the crisis negatively impacted tourism sector stocks. Further quantile regression analyses supported the non-linear relationship between the government’s responses and stock returns. The results present that the resurgence of the virus in Beijing did bring about a short-term negative impact on the tourism industry. The empirical results can be used for future researchers to conduct a comparative study of cultural differences concerning government responses to the COVID-19.

scholarly journals Optimal feedback control of stock prices under credit risk dynamics

2021 ◽  
Author(s):  
Jinghai Shao ◽  
Sovan Mitra ◽  
Andreas Karathanasopoulos
Keyword(s):  
Credit Risk ◽  
Stock Prices ◽  
Stock Price ◽  
Global Financial Crisis ◽  
Optimal Feedback Control ◽  
Dynamic Programming Principle ◽  
Price Model ◽  
Managerial Control ◽  
Optimal Feedback ◽  
The Impact

AbstractIn this paper we provide a stock price model that explicitly incorporates credit risk, under a stochastic optimal control system. The stock price model also incorporates the managerial control of credit risk through a control policy in the stochastic system. We provide explicit conditions on the existence of optimal feedback controls for the stock price model with credit risk. We prove the continuity of the value function, and then prove the dynamic programming principle for our system. Finally, we prove the Viscosity Solution of the Hamilton–Jacobi–Bellman equation. This paper is particularly relevant to industry, as the impact of credit risk upon stock prices has been prominent since the commencement of the Global Financial Crisis.

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