Firms increasingly follow an “always on” philosophy, publishing multiple pieces of firm-generated content (FGC) every day. Current methodologies used in marketing are unfit to unbiasedly capture the impact of FGC disseminated intermittently throughout the day on stock markets characterized by ultra-high-frequency trading. They also neither distinguish between the permanent (i.e., long-term) and temporary (i.e., short-term) price impacts nor identify FGC attributes capable of generating these price impacts. In this study, the authors define price impact as the impact on the variance of stock price. Employing a market microstructure approach to exploit the variance of high-frequency changes in stock price, the authors estimate the permanent and temporary price impacts of the firm-generated Twitter content of S&P 500 information technology firms. The authors find that firm-generated tweets induce both permanent and temporary price impacts, which are linked to tweet attributes of valence and subject matter. Tweets reflecting only valence or subject matter concerning consumer or competitor orientation result in temporary price impacts, whereas those embodying both attributes generate permanent price impacts. Negative-valence tweets about competitors generate the largest permanent price impacts. Building on these findings, the authors offer suggestions to marketing managers regarding the design of intraday FGC.

 

Prior research indicates the importance of new product launches across international markets for firm performance. However, little is known about if, and how, new product launches in international markets drive firm financial value. This study examines the drivers of stock market reactions to a new product introduction in a foreign country, along with the moderating impact of cultural context. Using a sample of 1,154 products in 34 product categories launched in 48 countries between 2011 and 2018, the authors investigate how product characteristics such as product innovativeness and product type affect abnormal stock reactions to a new product launch event. Furthermore, the authors assess the role of the national culture by considering the individualism, uncertainty avoidance, and indulgence characteristics of the country where the new product is launched. Results of a mixed-effects estimation model indicate that product launches in international markets with innovativeness and hedonism characteristics positively affect firm value. The effects of culture are complex and multifarious, providing valuable insights regarding the impact of new product introductions in global markets on firm value.

 

The relative importance of credit market development and stock market development in boosting innovation remains a long‐standing debate issue. In this study, we document how different types of financial markets development affect heterogeneous innovations. Using a broad sample across 42 developed and emerging economies and a generalized difference‐in‐differences identification strategy, we find that stock market development leads to significantly higher substantive innovation, especially in young and small firms, but has negative impact on incremental innovation. Conversely, credit market development promotes incremental innovation, especially in mature and large firms, but has negative impact on substantive innovation. Further analyses indicate that stronger shareholder protection enhances the positive impact of stock market on substantive innovation, while stronger creditor rights enhance the promoting effect of credit market on incremental innovation, and even turn the negative impact of credit market on substantive innovation into positive. Our paper provides new insights into the heterogeneous effects of credit market and equity markets on the real economy.

 

In this paper, we improve the ordinary least squares (OLS) estimation approach by replacing a normally distributed error with a t-distributed error. Empirically, we investigate the predictability of the Chinese stock market volatility based on this modified approach. Results show that the modified OLS method with a t-distributed error has a significantly stronger forecasting power than its counterpart with a normally distributed error. From an asset allocation perspective, the modified OLS approach can help a mean-variance investor obtain sizeable utility gains. We also conduct two extended empirical analyses and further verify the superiority of the regression approach with a t-distributed error. Our results are robust to a series of settings. Finally, we find that the regression approach with a t-distributed error shows greater tolerance for outliers by assigning smaller weights to them, thereby highlighting its superior performance.

Author – Mengxi He; Yaojie Zhang; Danyan Wen and Yudong Wang

 

This article uses Gaussian copula marginal regression and tail dependence estimation by copula to explore COVID-19’s effects on the dependence structure of the US stock market. Specifically, we investigate the dependence between S&P 500 returns and returns in eleven sectors at the mean and the tails of the joint distribution prior to and during the pandemic. We uncover strong evidence of the pandemic’s heterogeneous effects on dependence structures across sectors. Certain sectors, including information technology and health care, increase in importance as return determinants of the composite index during the pandemic. We also find that COVID-19 increases tail dependence, specifically lower tail dependence more than upper tail dependence. These findings will be useful to investors interested in managing risk, particularly during pandemics.

 

This paper establishes a predictive relationship between financial vulnerability and volatility in emerging stock markets. Focusing on China and India and utilizing GARCH-MIDAS models, we show that incorporating financial vulnerability can substantially improve the forecasting power of standard macroeconomic fundamentals (output growth, inflation and monetary policy interest rate) for stock market volatility. The findings have significant implications for investors to improve the accuracy of volatility forecasts

 

America’s decoupling‐from‐China debate started after July 2018, reached its peak in August 2020, and is likely to continue even if it may not be a high priority for the Biden administration. Many studies have examined various aspects of this issue, especially the potential economic impacts on the US economy. Unlike previous research, this study looks at the response of stock markets. Using Google Trends data, this study created a weekly dataset from January 2020 to June 2021 to measure investor sentiment towards the US decoupling from China. Employing the generalised autoregressive conditional heteroskedasticity (GARCH) models, the study finds that concern over decoupling is associated with significant variations in stock market prices. From this we can infer that the overall effects of decoupling on the US economy are likely to be considerable

 

This paper examines the holiday effect on the Swedish stock market over a 40-year period. We use a regression-based approach on daily price data to ascertain if the holiday effect is present on the Swedish stock market, analyse its historical development using 10-year subsamples, and assess whether its effects vary for different holidays. We find evidence for a positive post-holiday effect using the full sample period. When looking at the subsamples, however, we only find evidence for its existence in the 1990s and 2000s. We do not find evidence for the existence of a pre-holiday effect for any period. No holiday, considered by itself, shows evidence of a pre-holiday effect over the full sample period. For the holidays included, we only find evidence of a post-holiday effect after New Year’s.

 

There is a big controversy among both investment professionals and academics regarding how the termination probability of a market state depends on its age. Using more than two centuries of data on the broad US stock market index, we revisit the duration dependence in bull and bear markets. Our results suggest that the duration dependence for both bull and bear markets is a nonlinear function of the state age. It appears that the duration dependence in bear markets is strictly positive. For 93% of the bull markets, the duration dependence is also positive. Only about 7% of the bull markets, those with the longest durations, do not exhibit positive duration dependence. We also compare a few selected theoretical distributions on their ability to describe the duration dependence in bull and bear markets. Our results advocate that the gamma distribution most often provides the best fit for both the survivor and hazard functions of bull and bear markets. However, our results reveal that none of the selected distributions accurately describes the right tail of the hazard functions.

 

In this study, we examine whether liberalization of the stock market improves stock price efficiency using China’s market liberalization pilot program as a shock. We find that investible firms exhibit a significant increase in price efficiency, as proxied by stock price non‐synchronicity, after stock market liberalization. The results are robust to a series of tests and remain unchanged after we address the issue of endogeneity. We identify two channels through which price efficiency can be improved: better disclosure by firms and the incorporation of more information into stock prices through the trading activities of foreign investors. We also find that investment becomes more sensitive to prices, further indicating that stock prices have become more efficient. Finally, we find that stock price informativeness also increases.

 

·        Conclusion –   these research studies show that the stock market is influenced by many factors such as company tweets, new product launches, financial development, economic conditions, and global events like COVID-19. Investors quickly react to new information, and these reactions can be short-term or long-term depending on the situation. The studies also show that strong financial markets and better regulations improve innovation and stock price efficiency. Overall, these findings help investors and managers understand how different events and decisions affect stock prices and company performance.

 

·       Reference

 

Journal of marketing , September 2022, business source elite .

 

Journal of international marketing , December 2019, business source elite .

 

International review of finance, March 2023, business source elite .

 

Applied economics, October 2022, business source elite .

 

Applied economics letter, February 2023 , Business source elite.

 

Apply economics letter, January 2023, business source elite

 

Economics affairs, February 2023, business source elite

 

Applied Economics letter, novenmber 2022 , business source elite

 

Applied economics, January 2023 , business source elite

 

Journal of business finance & accounting , july 2022 , business source elite