The asymmetric online talk effect

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ying Zhang ◽  
Xing Lu ◽  
Wikrom Prombutr
Keyword(s):  
Predictive Power ◽  
Abnormal Returns ◽  
Message Board ◽  
Traditional Media ◽  
Stock Trading ◽  
Content Type ◽  
Message Boards ◽  
Retail Investors ◽  
Media Channels ◽  
Practical Implications

PurposeThe authors investigate the extent to which online talk can influence contemporaneous and future stock trading, especially when market news is unpresented.Design/methodology/approachThe authors propose an improved sentiment formula incorporating online hype, neutral sentiment and poster reputation. In addition, they conduct event study, OLS regression analyses and probit models.FindingsFirst, investors tend to be more talkative in relation to firms that are (1) smaller size, (2) more growth-like, (3) with lower prices and higher short interests and (4) of higher beta. Second, the bullish tone of investors positively affects the abnormal returns of small-capitalization stocks. However, online talk has little impact on large-capitalization stocks, except that more postings boost trading liquidity. Third, online talk predicts the presence of future news regardless of firm size, with stronger predictive power found for small-capitalization stocks.Practical implicationsIt is of interest to practitioners and researchers to study online talk so as to better understand the trading psychology of retail investors and the effects on the stock market. Furthermore, policymakers are interested in tracking activities on stock message boards in order to prevent security fraud and protect investors' interests.Originality/valueThe results are robust and suggest that online talk has significant impacts on stock trading exploiting an information asymmetry. This study of stock message board posting activities helps researchers to understand whether message contents contain valuable and unique content compared with information available via more traditional media channels.

Getting more than money through online crowdfunding

2019 ◽  
Vol 11 (2) ◽  
pp. 171-186 ◽  
Author(s):  
Stephanie Macht ◽  
Geoffrey Chapman
Keyword(s):  
Social Capital ◽  
Human Capital ◽  
Qualitative Analysis ◽  
Design Methodology ◽  
Psychological Capital ◽  
Financial Capital ◽  
Message Board ◽  
Content Type ◽  
Message Boards ◽  
Practical Implications

Purpose Many businesses invest significant resources to develop human, social and psychological capital, yet Crowdfunding (CF) activities have the potential to build all of these non-financial forms of capital at the same time as raising finance. The purpose of this paper is to explore the non-financial forms of capital that entrepreneurs and businesses using online CF activities can gain from their backers without having to ask for it. Design/methodology/approach The study used thematic, qualitative analysis to explore the comments and queries that crowdfunders posted on the publicly visible message board of individual CF projects on Kickstarter, one of the world’s leading crowdfunding platforms (CFPs). Findings Fund-seekers can gain more than money from crowdfunders: they can enhance their own human capital (e.g. knowledge of the viability of the project), social capital (e.g. the development of a bonding relationship) and psychological capital (e.g. self-efficacy and resilience) by effectively interpreting unsolicited comments and questions. Research limitations/implications This study is based on typed comments on CFP message boards, which limits insights into underlying reasons and motivations. However, the qualitative analysis of message board comments demonstrates how this type of data can be utilised to explore crucial aspects of CF that have to date been neglected. Practical implications Comments from many crowdfunders can provide useful information to fund-seeking entrepreneurs and businesses, although some of it may require interpretation. Originality/value The opportunity for fund-seekers to gain non-financial capital from crowdfunders, without having to ask for it, has not previously been explicitly considered in the field.

Rising US retail stock trading will draw modest reform

2021 ◽  
Keyword(s):  
Late Phase ◽  
Equity Markets ◽  
Financial Information ◽  
Individual Investors ◽  
Stock Trading ◽  
Content Type ◽  
Retail Investors ◽  
Media Channels ◽  
Financial Transactions ◽  
New Generation

Significance Late-phase bull equity markets invariably spawn a new generation of novice, casual traders. The surge in popularity of free stock trading apps such as Robinhood, combined with the growth of investing-focused social media channels, is influencing retail investment in a particular way this time around. Impacts Institutional investors will continue to drive the overwhelming majority of stock trading activity. Attempts to use the GameStop short squeeze to introduce a financial transactions tax will advance, but not far. Unprecedented access to more sophisticated financial information and trading tools will make retail investors more active investors. Digital financial apps ('robo advisors') that use artificial intelligence to manage individual investors' assets will continue to grow.

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.

Technopreneurship intention among nonbusiness students: a quantitative assessment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahadur Ali Soomro ◽  
Naimatullah Shah
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Quantitative Assessment ◽  
Predictive Power ◽  
New Venture ◽  
Equation Modeling ◽  
Survey Questionnaire ◽  
Content Type ◽  
The Impact ◽  
Practical Implications

PurposeThe present study attempts to identify the predictive power of technopreneurial-related activities (TRAs), technopreneurial self-efficacy (TSE) and technopreneurial motivation (TM) on technopreneurial intention (TE) among the nonbusiness students.Design/methodology/approachA conceptual framework is developed for investigation. A quantitative approach is adopted for this research, and the data are collected from the 282 students of the different public sector universities with a survey questionnaire. The application of structural equation modeling (SEM) is applied to investigate the impact of TRAs, TSE and TM on TE.FindingsThe results of SEM found a positive and significant impact of TRAs, TSE and TM on TE among the nonbusiness students of Pakistan.Practical implicationsThe study would be beneficial for the planners and policymakers of universities to improve modes of technopreneurship. The findings may encourage the students to develop strong beliefs, abilities and skills to start a new venture. The literature of entrepreneurship and technopreneurship may further enrich with empirical evidence of the present study.Originality/valueThe study would make technopreneurs able to deal with society's challenges.

Commitment among adjunct faculty

2020 ◽  
Vol 12 (5) ◽  
pp. 1209-1220
Author(s):  
Heidi Reeder
Keyword(s):  
Adjunct Faculty ◽  
Self Efficacy ◽  
Design Methodology ◽  
Predictive Power ◽  
Adjunct Instructors ◽  
Content Type ◽  
Part Time ◽  
Time Position ◽  
The Stability ◽  
Practical Implications

PurposeWithout the stability of tenure, adjunct faculty have few barriers to leave their position. The purpose of this article is to understand the variables that predict commitment among adjunct instructors.Design/methodology/approachThis paper statistically analyzed data from a survey completed by adjunct instructors at two 4-year universities. The survey included scales on commitment, satisfaction, investments, alternatives and the psychological concepts of grit and self-efficacy. In addition, a qualitative analysis was conducted on supplemental open-ended questions that allowed participants to describe the basis of their commitment.FindingsSatisfaction and investments were the main predictors of commitment and those together accounted for just over 50 percent of the variance. Grit and self-efficacy did not correlate with commitment, but did correlate with satisfaction and investments.Practical implicationsGiven the predictive power of satisfaction to explain commitment, understanding the specific rewards and costs experienced by this population can give administrators ideas for making the part-time position more appealing. Similarly, given the predictive power of investments, administrators might consider identifying avenues for adjunct faculty to contribute to the department and university in a meaningful and rewarding way.Originality/valueUniversities are increasingly dependent on adjunct instructors, so it is worthwhile to understand the experience of such faculty. This is best done through research, rather than relying on assumptions, stereotype or anecdotes.

Who can realize the “spot value” of corporate social responsibility?

2020 ◽  
Vol 11 (4) ◽  
pp. 717-743
Author(s):  
Shiyu Wang ◽  
Yan Zhang ◽  
Guanzhen Wang ◽  
Zhibin Chen
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Voluntary Disclosure ◽  
Abnormal Returns ◽  
Chinese Stock Market ◽  
Chinese Market ◽  
Content Type ◽  
Retail Investors ◽  
Csr Disclosure ◽  
Corporate Social

Purpose This paper answers, in the Chinese stock market, who can realize the “spot value” of corporate social responsibility (CSR). Design/methodology/approach The authors use event-study to build the research framework. Using CSR report content analysis, the authors measure the specification level of CSR disclosure. Applying the Baidu index, the authors mine Chinese investors’ profiles data to investigate retail investor heterogeneity closely. Findings The authors find strong evidence that the measure captures a behavioral bias in CSR pricing: firms that choose to disclose CSR report experience positive abnormal return more among retail investors than institutional investors, more among young investors than older, but no difference between female and male investors. Practical implications For Chinese public firms, the authors give them evidence that they can realize positive abnormal returns by applying certain CSR disclosure strategies. For Chinese investors, especially retail investors and youths, the authors ask them to rethink whether their positive evaluation of CSR is a rational trade-off choice or whether they are fooled by the “hedging mask” and “attention-grabbing.” Social implications The findings can give some suggestions to regulators: encouraging voluntary disclosure and reducing mandatory disclosure can drive enterprises to engage in more CSR activities because the voluntarily CSR disclosure can realize both long-term value and “spot value.” Complementarily, a more rigorous CSR report auditing regulation can suppress the “greenwash” by increasing the “lying cost.” Originality/value Using behavioral finance theory, the authors connect the gap between neoclassical research on the “U-shaped” value realization of CSR and the increasing voluntary CSR disclosure in the Chinese market. The authors find that heuristic reason and emotionality orientation results in the Chinese “CSR-friendly” market.

Do tourists’ emotional experiences influence images and intentions in yoga tourism?

2019 ◽  
Vol 74 (3) ◽  
pp. 646-665 ◽  
Author(s):  
Pramod Sharma ◽  
Jogendra Kumar Nayak
Keyword(s):  
Behavioral Intentions ◽  
Structural Equation ◽  
Design Methodology ◽  
Predictive Power ◽  
Equation Modeling ◽  
Emotional Experiences ◽  
Content Type ◽  
Confirmatory Factor ◽  
Using Data ◽  
Practical Implications

Purpose The purpose of this study is to investigate the influence of tourists’ emotional experiences on predicting behavioral intentions via cognitive, affective and overall image in yoga tourism. Design/methodology/approach This study was conducted using data collected from 398 tourists visiting a yoga tourism destination in India. Confirmatory factor analysis and structural equation modeling were used in analyzing the collected data. Findings The study confirmed that specific tourists’ emotions act as a predictor of cognitive, affective and overall image. This in turn influenced the behavioral intentions of tourists. The effect of specific emotions on affective image was stronger than on cognitive image in yoga tourism. Practical implications The marketing campaign of yoga tourism should highlight the special benefits of yoga to activate, stimulate and influence tourists toward yoga tourism, thereby improving the flow of future tourists. It would also help in better positioning and promoting yoga tourism as a unique and distinct niche tourism market. Originality/value This study contributed to the literature by understanding the predictive power of specific emotions on behavioral intentions via, cognitive, affective and overall image in yoga tourism. As far as the authors’ knowledge is concerned, this study is first known attempt to investigate such relationships in tourism literature.

SEC releases enforcement division FY 2017 annual report: shift in tone and likely approach

2018 ◽  
Vol 19 (1) ◽  
pp. 15-19
Author(s):  
Matthew C. Solomon ◽  
Robin M. Bergen ◽  
Alexis Collins
Keyword(s):  
Asset Management ◽  
Design Methodology ◽  
Annual Report ◽  
Risk Profile ◽  
Content Type ◽  
Policies And Procedures ◽  
The Us ◽  
Retail Investors ◽  
Practical Implications ◽  
Insight Into

Purpose To discuss and analyze the US Securities and Exchange Commission’s (SEC’s) FY 2017 Annual Report, which details its priorities for the coming year and evaluates enforcement actions that occurred during FY2017. Design/methodology/approach Summarizes key shifts from FY 2016, outlines the Enforcement Division’s current priorities, and, in view of its stated focus on the conduct of investment professionals and protection of retail investors, provides guidance to the investment management industry as it gears up for the coming year. Findings The Report provides insight into changes in the SEC’s approach to enforcement actions, including a general shift in tone suggesting a more measured approach to enforcement and remedies and a move away from a statistics-oriented approach, and a glimpse into its priorities for the coming year, including five core principles guiding the Division’s enforcement decisions. Practical implications As those in the asset management industry consider revisions to their policies and procedures for FY 2018, as well as their risk profile more generally, they should keep in mind key insights into the Commission’s enforcement strategy offered by the Report. Originality/value Practical guidance from experienced securities enforcement, litigation, compliance and anti-corruption lawyers.

Do financial blogs serve an infomediary role in capital markets?

2016 ◽  
Vol 31 (1) ◽  
pp. 17-40 ◽  
Author(s):  
Laura K. Rickett
Keyword(s):  
New Media ◽  
Information Asymmetry ◽  
Capital Markets ◽  
Earnings Quality ◽  
Abnormal Returns ◽  
Information Environment ◽  
Economic Uncertainty ◽  
Market Conditions ◽  
Content Type ◽  
Retail Investors

Purpose – Financial blogs provide an online platform whereby retail investors effortlessly gain access to an abundant array of investment guidance. Prior studies find that the market reacts to financial blogs and similar online venues but results are inconsistent and financial blogs, a growing area in new media and distinct from other online venues, have received little attention. The purpose of this paper is to examine the particular conditions in which financial blogs serve an infomediary role in capital markets; when information asymmetry is high, earnings quality is low, and during economic uncertainty. These are conditions in which retail investors may seek easily accessible advice for their investment decisions. Design/methodology/approach – Abnormal returns for firms mentioned in blog posts on the SeekingAlpha.com financial blog are examined using a multivariate regression to determine whether or not the market reaction associated with these posts is related to information asymmetry, earnings quality, and economic uncertainty. Findings – Results indicate that abnormal returns are associated with the SeekingAlpha.com financial blog when information asymmetry is high and during bearish market conditions, and in particular when buy recommendations are posted on the blog for firms with high information asymmetry. This association is strengthened for firms with low institutional ownership, a proxy for unsophisticated or retail investors. Research limitations/implications – Results are based on a sample collected during a specific time period in order to detect whether financial blogs serve an infomediary role during uncertain market conditions. Practical implications – Results of this study can be useful to company executives who may want to monitor investment advice posted about their firm on financial blogs. Financial blogs and other forms of social media such as Twitter and Facebook are becoming the “new normal” in the investor information environment, a trend that is likely to continue. Originality/value – Financial blogs provide an abundance of supplemental information demanded by investors. Financial blogs represent a form of “new media,” now considered a key component of firms’ information environment (Saxton, 2012). In contrast to prior studies which primarily investigate only whether the market reacts to financial blogs or similar online platforms such as stock message boards, this study attempts to understand the specific conditions in which the market reacts to financial blogs. The results provide a rationale as to when and why investors rely on financial blogs and whether financial blogs serve an infomediary role in capital markets.

Media channels and consumer purchasing decisions

2015 ◽  
Vol 115 (8) ◽  
pp. 1510-1528 ◽  
Author(s):  
JongRoul Woo ◽  
Joongha Ahn ◽  
Jongsu Lee ◽  
Yoonmo Koo
Keyword(s):  
Credit Card ◽  
Product Information ◽  
Personal Characteristics ◽  
Consumer Information ◽  
Media Planning ◽  
Specific Product ◽  
Content Type ◽  
Product Categories ◽  
Media Channels ◽  
Practical Implications

Purpose – The purpose of this paper is to explore the factors determining which communication mediums influence a given consumer deciding to purchase a specific product. Design/methodology/approach – Using a consumer survey and a multivariate probit (MVP) model, the authors explore consumer information searches related to purchases in nine categories: milk, instant noodles, shampoo, mobile phones, televisions, cars, mobile communication services, credit card services, and life insurance. Findings – The media channels that motivate a given consumer to make a given purchase vary depending on both socio-demographic variables and product categories. Practical implications – As consumers can now obtain product information through different and multiple media channels according to their personal characteristics and the category of the product they seek to purchase, these findings will help companies develop media planning strategies that will effectively target specific market segments. Originality/value – Unlike previous studies, the authors consider which media channels actually affect a consumer’s product purchase decisions, and the authors do so across product categories and media types to provide practical implications for media planning. Furthermore, this is the first application of the MVP model in this context.

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