New product announcements effect on stock prices in India

Mann, Bikram Jit Singh; Babbar, Sonia

doi:10.1108/jabs-08-2015-0145

Cited by 3 publications

(4 citation statements)

References 74 publications

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“…These announcements impact the sentiment of investors towards the stock. There is a significant impact of the announcement of a new product launch or approvals or decisions on the company's share prices [15]. So abnormal returns are generated on the event day.…”

Section: Sentiment Analysismentioning

confidence: 99%

“…It is evident from the sentiment of investors on the news of any new product announcement for the BSE 500 index companies that there is a significant impact of the news of new products on the stock price. With the information of the new product launch, the trend of stock price changes and abnormal returns are generated on the event day [15].…”

Section: Review Of Sentiment Analysis For Indian Stock Marketmentioning

confidence: 99%

“…There exists a causal relationship between the information related to macroeconomic variables and the price movement of BSE Sensex. Also, the impact of macroeconomic variables such as foreign portfolio investors' sentiment influences positively the movement of NIFTY returns [13,15]. R. Yadav et al [23] in their study, created an event-based sentiment analysis model to predict the Indian stock market prices.…”

Section: Review Of Sentiment Analysis For Indian Stock Marketmentioning

confidence: 99%

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Sentiment Analysis using Machine learning for forecasting Indian stock Trend: A brief Survey

Dash,

Mishra

2023

jour

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Due to new technical advances, the machine can think as a person-investor and express its reaction to readily available financial information. Forecasting models for the Indian stock market can be developed based on the analysis of these sentiments. The purpose of the study is to identify gaps in existing approaches to the analysis of sentiments and models of forecasting trends in the Indian stock market, which can improve the accuracy of the prediction of the dynamics of Indian stocks. The paper presents an overview of the literature on the analysis of sentiments of financial information using lexical methods, machine learning methods and forecasting for the Indian stock market based on sentiment analysis data. The scientific works, conference reports, dissertations, books and articles published by scientists for the period from 2015 to 2021 are considered. The datasets published in Indian Stock Exchanges suggest increasing participation of retail investors in the Indian Stock market in recent times. To help investors in decisionmaking, various prediction models are available based on the financial information. The results of the survey showed that investors’ attitudes based on the microeconomic and macroeconomic information associated with stocks influence the movement of the stock price. Therefore, forecasting a future trend or price requires a sentiments analysis based on available financial information. It was concluded that using machine learning to extract sentiment from financial data allows for more accurate forecasts than sentiment analysis based on vocabulary. The results of this study can be useful for students and new professionals in the field of financial information data analysis and stock market predictions who want to get connected with this area, identify problem concerns, and develop models for predicting decision-making.

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Section: Sentiment Analysismentioning

confidence: 99%

Section: Review Of Sentiment Analysis For Indian Stock Marketmentioning

confidence: 99%

Section: Review Of Sentiment Analysis For Indian Stock Marketmentioning

confidence: 99%

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Sentiment Analysis using Machine learning for forecasting Indian stock Trend: A brief Survey

Dash,

Mishra

2023

jour

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“…New product developments are essential for maintaining competitive advantage and ensuring a consistent revenue stream (Lee and Chen, 2009). New product launches have been shown to enhance shareholder value (Chaney et al , 1991; Lee and Chen, 2009, Mann and Babbar, 2017). Typically, investors react positively to product development and restructuring announcements (Jacobs and Singhal, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

What determines the performance of pharmaceutical firms in India on account of COVID-19 interventions?

Lamba,

Aggarwal,

Gupta

et al. 2023

IJPHM

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Purpose This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs). Design/methodology/approach This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms. Findings The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age. Originality/value The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.

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Pokémon Go!: Stock valuation and disruptive innovation in entertainment industry

Barros

Lopes

Kaveski

2021

R. Contemp. Contab.

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This research aims to analyze the impact of the announcement of the launch of the game Pokémon Go! on Nintendo's stocks. The study anchors itself on conceptual foundations of disruptive innovation and previous research that examined the stock market reaction to the announcement of innovations. This is an empirical research whose sample is made up of 4 Nintendo company assets traded in the United States, Germany, Switzerland and Japan, as well as the assets of companies comparable to Nintendo that made up the Detailed Stock Report available in the Refiniv® system (Thomson Reuters), at the time of the launch of the game. Through conducting a series of event studies, Nintendo's stocks traded in the United States, Germany, Switzerland and Japan presented abnormal returns after one day of the game's launch. These findings proved to be specific of Nintendo corporation's assets, with no similar reactions observed in peer valuation analysis. Based on five variables of cumulative abnormal returns (CARs) for all entertainment companies listed in Japan and controlled by factors such as profitability, debt, size and market value, it was found that on average the cumulative abnormal returns of Nintendo were significantly higher than the other companies in all 5 models tested. In response, we hope to broaden the discussions listed in this survey to recognize the launch of Pokémon Go! as an innovation with typical traits of Disruptive innovation, which were not ignored by capital market when the game was launched in July 06th, 2016.

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New product announcements effect on stock prices in India

Cited by 3 publications

References 74 publications

Sentiment Analysis using Machine learning for forecasting Indian stock Trend: A brief Survey

Sentiment Analysis using Machine learning for forecasting Indian stock Trend: A brief Survey

What determines the performance of pharmaceutical firms in India on account of COVID-19 interventions?

Pokémon Go!: Stock valuation and disruptive innovation in entertainment industry

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