Preannouncement Effects on Apple's Supply Chains: Using the Event Study Based on iPhone 6 and 6 Plus

Son, Insung; Lee, Hankyung; Kim, Jinsu

doi:10.14257/astl.2015.84.15

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…The event study method, first proposed by Demirer et al (2010), has been used in finance in recent years, such as for major investments and lawsuit announcements. The study by Son et al (2015) provides investors with an assessment on the effects of information on stock price changes. Their study tests whether event occurrences cause abnormal changes in a firm's stock price and then generate abnormal returns, so as to understand whether stock prices can quickly and directly reflect event information and to discuss whether the market is efficient (Demirer et al 2010;Fama et al 1969).…”

Section: Research Methods and Materialsmentioning

confidence: 99%

Financial Market Reaction to Patent Lawsuits against Integrated Circuit Design Companies

Shih

2021

JRFM

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With the rapid advancement in technology, Taiwan’s integrated circuit (IC) design companies have made a mark in the international semiconductor industry but are unable to independently develop the key core technologies they need. Therefore, strategic alliances, competition and cooperation have become a means for enterprises to quickly obtain patents and capture the market. However, listed companies upstream and downstream of Taiwan’s supply chain have been facing patent infringement lawsuits in recent years. This research mainly aims to provide investors with investment strategies when companies face patent litigation, analyze the abnormal returns on the underlying stocks through the event research method, and use the cross-sectional multiple regression model to explore the changes in different factors based on the results. The empirical results show that positive abnormal returns are generated before and after a company faces patent litigation and the cumulative abnormal rewards are all positive and significant after the incident, which indicates that the company may still have an opportunity to make a profit when facing patent litigation, which can be used as a reference for investors.

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Section: Research Methods and Materialsmentioning

confidence: 99%

Financial Market Reaction to Patent Lawsuits against Integrated Circuit Design Companies

Shih

2021

JRFM

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“…It's the most stable model as well. In addition, Son et al presented the event study doing research on preannouncement effects on Apple's supply chains [6]. The article identified the preannouncement effect based on Apple 6 and 6 Plus.…”

Section: Introductionmentioning

confidence: 99%

“…This article also uses event study based on the current literature to identify the impact of connection of ChatGPT to Microsoft [4][5][6]. What is prior to it, this paper also explored the model that is best fitted to the Microsoft stock among three frequently used models' random forest, K-Nearest Neighbors (KNN), Support Vector Regression (SVR).…”

Section: Introductionmentioning

confidence: 99%

Machine Learning and Event Study to Explore the Influence of ChatGPT on Microsoft Stock

Lai

2023

AEMPS

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In light of the increasingly vital role of Artificial Intelligence (AI) has played in this era, it is imperative to conduct a comprehensive examination of the exact impact of specific event associated with AI on advanced corporations, economies and even countries. This study focuses on analyzing the recent event involving the connection of ChatGPT to Microsoft. To be more specific, this paper employed 3 machine learning models and one Stata model event study to respectively identify the best fitted model and its precise impact. In this work, 3 machine learning have been used, namely Support Vector Regression (SVR), K-Nearest Neighbor categorization algorithm (KNN) and Random Forest, to spot the model that fits the Microsoft stock the best. Initially, data was collected from Yahoo Finance, which is set and indexed in advance. Subsequently, data is individually put to train the 3 models. Ultimately, Mean Square Error (MSE), Root Mean Squared Error (RMSE) and R squared score are calculated with care and compared to obtain the results. Additionally, after collecting the data, a sensible window of event study has been set. Experimental results demonstrated that Random Forest performs the best among the 3 models and the specific event of ChatGPT connecting to Microsoft has a limited effect on the firms stock price.

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Moving Beyond the four walls: The evolving impact of supplier sustainability on firm value

Rogers

Golara

Carter

2023

Journal of Purchasing and Supply Management

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Preannouncement Effects on Apple's Supply Chains: Using the Event Study Based on iPhone 6 and 6 Plus

Cited by 5 publications

References 13 publications

Financial Market Reaction to Patent Lawsuits against Integrated Circuit Design Companies

Financial Market Reaction to Patent Lawsuits against Integrated Circuit Design Companies

Machine Learning and Event Study to Explore the Influence of ChatGPT on Microsoft Stock

Moving Beyond the four walls: The evolving impact of supplier sustainability on firm value

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