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Investigation of the anomalies associated with crashes and jackpots in the Chinese stock market.

We propose a logit model to predict the events of crashes and jackpots in the Chinese stock market. The model introduces a new variable of the price-to-sales ratio and takes into account the market states, Up and Down.

The anomalies associated with crashes and jackpots are not related to variations in economic conditions, but are associated with limits to arbitrage. High-liquidity stocks have strong mispricing effects. The institutions’ speculative trading will push liquid stock prices further away from their fundamentals but avoid buying illiquid stocks with a higher probability of price crashes and jackpots.

We propose a logit model to predict the extreme events of both crash and jackpot in the Chinese stock market. Our model effectively disentangles from CRASHP and JACKP. Compared with the traditional model, it substantially enhances in-sample and out-sample predictions. Based on the predictions of the extreme events, we find two strong and robust pricing effects associated with ex ante CRASHP and JACKP in the Chinese stock market.

This article analyzes the hypothesis that analysts issue higher long-term earnings growth (LTG) forecasts following a market-wide investor sentiment.

This study analyzed 193 publicly traded Brazilian firms listed on B3 (Brasil, Bolsa, Balcão), totaling 2,291 observations. To address the potential selection bias resulting from analysts' preference for more liquid firms, this study used the Heckman model in the analysis with samples with only one analyst and the entire sample. The study also applied other robustness tests to ensure the reliability of the findings.

The results suggest that market-wide investor sentiment influences LTG when the firm's stocks are difficult to value. Market optimism did not reflect five-year profit growth after the forecast issue, suggesting lower forecast accuracy during high investor sentiment values.

Volatile-earnings firms have relevant implications in LTG forecasts during bullish moments. According to the study’s evidence, investors' decisions and policymakers' and regulators' rules should consider analysts' expertise as independent information when considering LTG as input for valuation models, even under market optimism.

This paper contributes to the literature on the influence of investor sentiment on analysts' forecasts by incorporating two crucial elements in the discussion: the scenario free from herding behavior, as usually only one analyst issues LGT forecast for Brazilian firms, and the analysis of research hypotheses incorporates the difficulty of pricing a firm given the uncertainty of its earnings as an explanation to bullish forecast.

The purpose of this research is to investigate how the negative effect of litigation risk on firm performance could be controlled through the channel of voluntary disclosure and under the condition of institutional ownership.

To get the objectives, the study analyzed an unbalanced panel of 918 non-financial listed Chinese firms from 2010 to 18. To capture any expected unobserved heteroscedasticity and autocorrelation in the unbalanced sample, the authors have applied fixed effect regression with robust standard errors clustered at the firms' levels as suggested by Newey and West (1987).

The research provides that the good disclosure practices and presence of institutional ownership in corporations raise the trust of the investors by making the corporate operation clear in the eyes of the stakeholders. This increases the corporate credibility and as consequence corporations are protected against litigation risk. Thus, in the light of the information asymmetry and signaling theories, voluntary disclosure practices, and financial institutions' ownership, bridges the information gap and transmit a positive signal in the market regarding the better financial performance of the corporations.

These findings are helpful for the corporate managers for effective strategic decisions, regulatory authorities for policy formulation, and individual investors for developing a diversified investment portfolio.

By applying the mediation and moderation effects, the research enhances the understanding of the underlying causes of the association between a firm's litigation risk and its performance. The current research contributes to the literature, that agency issues which create litigation risk could be settled internally with voluntary disclosure practices and externally with institutional ownership.

The aviation industry plays a vital role in supporting tourism and international businesses by providing the fastest transportation network in the world and also boosting economic growth and creating employment. However, it harms the environment, mainly through air pollution due to aircraft engines emitting heat and gases that contribute to global warming, acid rain, smog, and ozone depletion. Air travel has increased considerably over the years, and therefore aircraft emissions have contributed to the build-up of greenhouse gases (GHG), with the resultant changes in weather patterns leading to global warming and environmental deterioration. Although aviation contributes to economic and environmental development, it is a double-edged sword because it is thought to be the most challenging industry for formulating sustainable policies, based on the direct conflict between environmental impacts and economic development. This chapter explores different types of problems associated with the negative impacts of aviation carbon emissions and the carbon footprint of tourism. The chapter will also reflect on policy, regulations, and governance approaches currently in place to combat these negative impacts as well as challenges involved in policy interventions.

This paper aims to propose a novel control scheme and offer a control parameter optimizer to achieve better automatic carrier landing. Carrier landing is a challenging work because of the severe sea conditions, high demand for accuracy and non-linearity and maneuvering coupling of the aircraft. Consequently, the automatic carrier landing system raises the need for a control scheme that combines high robustness, rapidity and accuracy. In addition, to exploit the capability of the proposed control scheme and alleviate the difficulty of manual parameter tuning, a control parameter optimizer is constructed.

A novel reference model is constructed by considering the desired state and the actual state as constrained generalized relative motion, which works as a virtual terminal spring-damper system. An improved particle swarm optimization algorithm with dynamic boundary adjustment and Pareto set analysis is introduced to optimize the control parameters.

The control parameter optimizer makes it efficient and effective to obtain well-tuned control parameters. Furthermore, the proposed control scheme with the optimized parameters can achieve safe carrier landings under various severe sea conditions.

The proposed control scheme shows stronger robustness, accuracy and rapidity than sliding-mode control and Proportion-integration-differentiation (PID). Also, the small number and efficiency of control parameters make this paper realize the first simultaneous optimization of all control parameters in the field of flight control.

The authors believe the COVID-19 pandemic has an impact on supply and demand. The potential decline in real sector performance leads to lower expectations of securities performance. The uncertainty of future performance can change investor behaviour. This study tried to gain insight into stock investor behaviour during the COVID-19 pandemic. The results showed that the majority of the investor realized and believed the pandemic would affect the stock market performance. Hence, they did not show herding behaviour and were very confident during the COVID-19 pandemic. The survey also indicates that investors tend to avoid risk rather than take the opportunity to buy at a lower price. Moreover, investors believe that the COVID-19 vaccine will soon be found, and the economy will return to normal. Government and self-regulated organizations (SRO) are responsible for making effective policies to convince the investors about the future prospect.

This chapter differentiates stress from generalized anxiety, discussing the nature and prevalence of each among college students. The chapter then delves into generalized anxiety in detail, covering instruments that measure generalized anxiety, cultural considerations associated with generalized anxiety and the causes, consequences, prevention and treatment of generalized anxiety among college students. The next section of the chapter focuses on social anxiety among college students, similarly addressing its defining characteristics, prevalence, cultural considerations, causes, consequences, prevention and treatment. The final section of the chapter follows a similar structure in discussing posttraumatic stress disorder (PTSD) among college students. Throughout the chapter, attention is devoted to neurotransmitters and brain structures that are involved in anxiety and its treatment through antianxiety medications. Case examples are used to help bring theoretical concepts and research findings to life.

This study aims to investigate the impact of the COVID-19 pandemic on both of stock prices and investor's sentiment in China during the onset of the COVID-19 crisis.

In this study, the ADCC-GARCH model was used to analyze the asymmetric volatility and the time-varying conditional correlation among the Chinese stock market, the investors' sentiment and its variation. The authors relied on Diebold and Yilmaz (2012, 2014) methodology to construct network-associated measures. Then, the wavelet coherence model was applied to explore the co-movements between these variables. To check the robustness of the study results, the authors referred to the RavenPack COVID sentiments and the Chinese VIX, as other measures of the investor's sentiment using daily data from December 2019 to December 2021.

Using the ADCC-GARCH model, a strong co-movement was found between the investor's sentiment and the Shanghai index returns during the COVID-19 pandemic. The study results provide a significant peak of connectivity between the investor's sentiment and the Chinese stock market return during the 2015–2016 and the end of 2019–2020 turmoil periods. These periods coincide, respectively, with the 2015 Chinese economy recession and the COVID-19 pandemic outbreak. Furthermore, the wavelet coherence analysis confirms the ADCC results, which revealed that the used proxies of the investor's sentiment can detect the Chinese investors' behavior especially during the health crisis.

This study provides two main types of implications: on the one hand, for investors since it helps them to understand the economic outlook and accordingly design their portfolio strategy and allocate decisions to optimize their portfolios. On the other hand, for portfolios managers, who should pay attention to the volatility spillovers between investor sentiment and the Chinese stock market to predict the financial market dynamics during crises periods and hedge their portfolios.

This study attempted to examine the time-varying interactions between the investor's sentiment proxies and the stock market dynamics. Findings showed that the investor's sentiment is considered a prominent channel of shock spillovers during the COVID-19 crisis, which typically confirms the behavioral contagion theory.

This book chapter takes an institutional perspective on competing logics in global markets concerned with sustainability values and how market actors in the form of buyers and sellers attempt to solve these conflicting situations. We do this by identifying competing institutional logics in global market contexts aiming for sustainability values, together with techniques for navigating these competing institutional logics in the organizational field studied. As an empirical illustration, we use a case study of buyers and sellers in two different markets where sustainability has come into focus for their market relationships. This viewpoint allows us to better understand how global market actors deal with the competing institutional logics in their market context. We make three contributions with this research: firstly, we identify the institutional logics in global markets towards sustainability; secondly, we demonstrate how global market actors prioritize among the competing logics and their market relationships and thirdly, we outline what this means for the relationship between buyers and sellers in global markets towards sustainability.

This paper scrutinizes the relationship between idiosyncratic risks and stock returns at different quantiles, especially the extremely low and high ones, to explore the applicability of the Prospect Theory’s rationale in Vietnam’s stock market.

The Prospect Theory demonstrates that investors’ attitudes towards risks can change from risk-seeking in the loss domain to risk-averse in the gain domain. This can be observed by the negative (positive) connection between idiosyncratic risks and returns for the losing (winning) stocks. To explore if the aforesaid patterns occur in Vietnam’s stock market, this paper employs the quantile regression method which is suitable for inspecting the relationship at the high and low tails of the stock returns.

The estimation results acknowledge the changes in attitudes towards risks as mentioned by the Prospect Theory.

The negative relationship between idiosyncratic risks and stock returns confirms investors’ risk-seeking behavior in the loss domain, which is in line with the prediction of the Prospect Theory. This behavior may cause worse investment performance as the losing stocks in investors’ portfolios remain overvalued, leading to subsequent negative returns. Therefore, investors should establish and follow their investment disciplines to protect themselves from larger losses.

Existing research found little evidence for the Prospect Theory’s rationale in Vietnam’s stock market, which can stem from the usage of the conditional-mean regression methods. Different from the prior studies, this paper is the first to apply the quantile regression method and provide new evidence supporting the Prospect Theory’s rationale in Vietnam’s stock market.