scholarly journals Testing for Cumulative Abnormal Returns in Event Studies with the Rank Test

2014 ◽  
Author(s):  
Terhi Hagnns ◽  
Seppo Pynnonen
Keyword(s):  
Abnormal Returns ◽  
Event Studies ◽  
Rank Test ◽  
Cumulative Abnormal Returns

From common to firm-specific event dates: A new version of the estudy command

2021 ◽  
Vol 21 (1) ◽  
pp. 141-151
Author(s):  
Fausto Pacicco ◽  
Luigi Vena ◽  
Andrea Venegoni
Keyword(s):  
Abnormal Returns ◽  
Event Studies ◽  
Output Data ◽  
Cumulative Abnormal Returns ◽  
Specific Event ◽  
Event Date

The estudy command proposed by Pacicco, Vena, and Venegoni (2018, Stata Journal 18: 461–476) performs event studies only for event-date clustering, that is, when the event date is common to all securities. This constitutes a relevant limitation because the vast majority of this methodology’s applications concerns studies in which the events happen on different dates for each statistical unit considered. In this article, we propose and describe a substantial update to estudy, which 1) performs event studies in the absence of event-date clustering (that is, when each security has its own event date); 2) further customizes the output by producing LATEX-formatted tables; 3) graphs the cumulative abnormal returns over a customized period set by the user; 4) makes more output data available through either the return list or Excel files; 5) allows a double possibility as input: either prices or returns; and 6) uses wildcards.

Cryptocurrency bubble risk and the FOMC announcements during COVID-19 black swan event

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anis Jarboui ◽  
Emna Mnif
Keyword(s):  
Federal Reserve ◽  
Abnormal Returns ◽  
Relevant Information ◽  
Future Research ◽  
Open Market ◽  
Predictive Capacity ◽  
Federal Open Market Committee ◽  
Content Type ◽  
Cumulative Abnormal Returns ◽  
Practical Implications

Purpose After the COVID-19 outbreak, the Federal Reserve has undertaken several monetary policies to alleviate the pandemic consequences on the markets. This paper aims to evaluate the effects of the Federal Reserve monetary policy on the cryptocurrency dynamics during the COVID19 pandemic. Design/methodology/approach We examine the response and feedback effects via an event study methodology. For this purpose, abnormal returns (AR) and cumulative abnormal returns (CARs) around the first FOMC (Federal Open Market Committee) announcement related to the COVID-19 pandemic for the top five cryptocurrencies are explored. We, further investigate the effect of the eight FOMC statement announcements during the COVID19 pandemic on these cryptocurrencies (Bitcoin, Ethereum, Tether, Litecoin, and Ripple). In the above-mentioned crypto-currency markets, we investigate the presence of bubbles by using the PSY test. We then examine the concordance of the dates of these bubbles with the dates of the FOMC announcements. Findings The empirical results show that the first FOMC event has a negative significant effect after 4 days of the announcement date for all studied cryptocurrencies except Tether. The results also indicate that cumulative abnormal returns are significant during the event windows of (−3,8), (−3,9), and (−3,10). Besides, we find that Bitcoin, Ethereum and, Litecoin lived short bubbles lasting for a few days. However, Ripple and Tether markets present no bubbles and no explosive periods. Research limitations/implications This paper presents trained proof that FOMC announcements have a positive effect on volatility's predictive capacity. This work therefore promotes the study of the data quality of volatility in future research as well. Practical implications The justified effect of the FOMC announcements on cryptocurrency as a speculative asset has practical implications for investors in building their trading strategies in anticipation of the next FOMC announcement. Therefore, this study implies that the FOMC announcements contain very relevant information for investors in the cryptocurrency market. This research may not only encourage a better understanding of the evolution of the expectations of policymakers, but also facilitate a better understanding of how these expectations are developed. Originality/value The COVID-19 pandemic has disturbed the stability of financial markets, inciting the Fed to take some monetary regulations. To the best of our knowledge, this study is the first one that analyses the response of five major cryptocurrencies to FOMC announcements during COVID 19 pandemic and associates these dates with bubble occurrences.

scholarly journals MARKET REACTION ON THE ANNOUNCEMENT OF SRI KEHATI INDEX IN INDONESIAN STOCK EXCHANGE

2019 ◽  
Author(s):  
Anggita Langgeng Wijaya ◽  
Mia Noviyanti ◽  
Probo Mahayu
Keyword(s):  
Trading Volume ◽  
Market Reaction ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Rank Test ◽  
Stock Trading ◽  
Population Sampling ◽  
Signed Rank ◽  
Before And After ◽  
Signed Rank Test

The purpose of this study was to test the market reaction to the announcement of the Sri Kehati Index on the Indonesia Stock Exchange. The population in this study is all companies included in the Sri Kehati Index from 2013 to 2016. The selection of samples was taken by the population sampling method. Hypothesis testing is done by paired t test and Wilcoxon Signed Rank Test. The findings of this research are: 1) there is no difference in abnormal returns before and after the announcement of the Sri Kehati Index on the Indonesia Stock Exchange. 2) There is a difference in the activity of stock trading volume before and after the announcement of the Sri Kehati index in the 5th and 6th periods, but there is no difference in the activity of stock trading volume in other periods. The Indonesia Stock Exchange did not react consistently to the announcement of the Sri Kehati Index.

scholarly journals TRADEMARK ACTIVITY AND THE MARKET PERFORMANCE OF U.S. COMMERCIAL BANKS

2012 ◽  
Vol 13 (5) ◽  
pp. 931-950 ◽  
Author(s):  
Carlos González-Pedraz ◽  
Sergio Mayordomo
Keyword(s):  
Commercial Banks ◽  
Negative Impact ◽  
Abnormal Returns ◽  
Market Value ◽  
Tobin’S Q ◽  
Tobin's Q ◽  
Cumulative Abnormal Returns ◽  
And Performance ◽  
Positive Effect

This empirical paper analyzes the effect of trademark activity on the market value and performance of US commercial banks from two perspectives. First, a longterm perspective considers the effect of such activity on banks’ Tobin's q. Second, with a short-term perspective, the authors analyze the effect of trademark activity on banks’ abnormal returns. An older portfolio of trademarks diminishes the ratio of market value to firm assets, but this ratio can be improved in the long term by abandoning old trade-marks. Portfolios of trademarks with wide diversification do not help increase Tobin's q. Furthermore, according to an event study, the creation of a trademark has a positive effect on cumulative abnormal returns compared with no event, whereas a cancellation event has a negative impact.

How Sports Sponsorship Influences a Sponsor’s Financial Performance: A Case Study from the Korea Baseball Organization

2021 ◽  
Vol 30 (4) ◽  
Author(s):  
Hyun-Min Kim ◽  
Woon-Kyung Song ◽  
Sanghak Lee
Keyword(s):  
Financial Performance ◽  
Stock Returns ◽  
Abnormal Returns ◽  
Positive Influence ◽  
Cumulative Abnormal Returns ◽  
Abnormal Stock Returns ◽  
Korea Baseball Organization ◽  
Positive Effect ◽  
Insight Into

This study aims to examine the effects of sponsorship on the sponsor’s financial performance. Th is study investigates return on sponsorship (ROS) with a quantitative analysis. Nexen Tire’s title sponsorship agreement with the Heroes baseball club in the Korea Baseball Organization (KBO) in 2010 is studied. The positive effect of sponsorship on the sponsor’s Tobin’s q is confirmed by comparing the non-sponsorship period (2000‒2009) with the sponsorship period (2010‒2018). It is also shown from an event study that the sponsor experiences negative abnormal stock returns on the news of the sponsorship agreement, though this was not found to be statistically significant. Still, when the sponsee enters the postseason, positive cumulative abnormal returns are observed, particularly significant 10 days before the postseason games. Th is study confirms the positive influence of sponsorship on the sponsor’s financial performance and, with evidence from South Korea, provides insight into Asian markets in need of research. Th e results suggest that 10 days before a postseason game would be an ideal time to leverage marketing and activate a sponsorship strategy.

The valuation effects of hotel mergers

2021 ◽  
pp. 135481662110504
Author(s):  
Seongsu David Kim
Keyword(s):  
Panel Data Analysis ◽  
Hotel Industry ◽  
Abnormal Returns ◽  
Lodging Industry ◽  
Causal Inferences ◽  
Valuation Effects ◽  
Cumulative Abnormal Returns ◽  
Announcement Date ◽  
Total Debt ◽  
Jel Classifications

This study aims to evaluate the merger effect of hotel mergers between 1981 and 2019 and assess which theoretical framework mergers in the lodging industry would conform. Previously, no work has been done about the nature of hotel mergers using the combined return, while this lack of thoroughness in assessing the motivation of those mergers has triggered different interpretations. The design of this study follows the traditional framework of an event study by assessing various types of cumulative abnormal returns around the announcement date. The key finding of this study suggests that the nature of hotel mergers strongly supports the synergy hypothesis. In order to explore the causal inferences of this result by bidder and target, an additional analysis was conducted by regressing the cumulative abnormal returns on accounting measures as well as merger- and hotel industry–specific variables. This panel data analysis showed that in a merger where both the bidder and target are affected, the amount of total debt, being engaged in the casino business, and whether the merger was involving a stock swap sent out positive signals to the market, whereby longer duration and higher deal value lifted the undervalued target. JEL Classifications: G34 (Mergers; Restructuring; Corporate Governance)

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