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The Financial Stability Board (FSB) determined that entities classified as shadow banking are of a credit nature because they are capable of affecting the financial system through the entry and exit of capital. This study aims at measuring the impact of shadow banking in the systemic risk in Chile. A sample of 91 institutions (Run) belonging to the mutual funds was used, with a series showing a continuous behaviour between 2004 and 2018.

The measurement is carried out using the conditional value at risk (CoVaR) methodology, which analyses the behaviour of an institution in a regular state against the same institution in a state of stress.

The results obtained reflect that liquidity mismatches do not have a relevant effect on the systemic risk, while the 2008 crisis does contribute to its decline.

There are less number of literature studies that apply statistical models regarding shadow banking, at least at a quantitative level, so this research is a beginning for other studies, supporting future authors in their new research as a basis.

El Consejo de Estabilidad Financiera determinó que las entidades clasificadas como Shadow Banking son de carácter crediticio debido a que son capaces de afectar al sistema financiero mediante la entrada y salida de capitales. Este estudio tiene como objetivo medir el impacto del Shadow Banking en el Riesgo Sistémico de Chile. Para esto se utilizó una muestra de 91 instituciones (Run) pertenecientes a los Fondos Mutuos, con series que muestran un comportamiento continuo entre 2004 y 2018.

La medición se lleva a cabo mediante la metodología CoVaR, la cual analiza la conducta de una institución en estado normal versus la misma institución en estado de estrés.

Los resultados obtenidos reflejan que los desajustes de liquidez no tienen un efecto relevante en el Riesgo Sistémico, mientras que la crisis del 2008 si contribuye a la disminución de este.

Existe muy poca literatura que aplica modelos estadísticos respecto al Shadow Banking, al menos a nivel cuantitativo, por lo que esta investigación es un inicio para otros estudios, apoyando como base a futuros autores en sus nuevas investigaciones.

The study examines the effect of increased Economic Policy uncertainty on analyst optimism in the Indian market. The study also explores whether the SEBI Research Analyst Regulation, 2014, has effectively contained the optimistic nature of analysts.

The study is based on firms in the Indian market. The sample period is 2003–2020. It runs a linear panel regression to measure the impact of Economic Policy uncertainty on the optimism level of analysts' forecasts and recommendations, controlling for firm fixed effects. Further, the impact of the SEBI Research Analyst Regulation, 2014, has been assessed with the help of the difference-in-difference approach.

The Economic Policy uncertainty is significantly and positively related to the analyst optimism, reflected in the forecast bias and recommendation in the Indian context. The experience of analysts and the age of the firm positively drive optimism. However, introducing the Research Analyst Regulation by SEBI led to a decline in analyst optimism. The regulation decoupled the analysts' compensation from brokerage service transactions. Thus, the results suggest that the regulation has effectively curbed the incentive to produce optimistic output.

This is the first study in the Indian market to assess the impact of uncertainty on analyst output. It also investigates the effectiveness of the first analyst-specific regulation in India, i.e. The Research Analyst Regulation, 2014.

This paper aims to show that market power exists in financial markets and analyze how spoofing is used by a high-frequency trader to build market power by taking advantage of both behavioral weaknesses of individual investors and microstructural loopholes of trading venues.

After showing that market power exists in the financial market, this paper centers around the question of how market power is constructed in the financial market. To sharpen the answer to the question, the paper compares the conditions needed for market power construction in the financial market with those needed in the goods market. The paper selects spoofing, the frequently used order-based tactic in high-frequency trading strategies, to analyze in detail how spoof orders can ignite herding with market power building as the essence. The Flash Crash that occurred in the New York Stock Exchange on May 6, 2010 provides an excellent case of market power construction exhibited in spoofing.

The behavioral mechanism of market power construction in the case of spoofing is perception alignment. It becomes effective when two necessary conditions are met: the spoof trader takes advantage of the incomplete order display set up by the exchange; and the behavioral weaknesses exhibited by numerous individual investors. In addition to these key conditions, this paper finds other ones for market power to be created in the financial market. They are easier, quicker, more secret, more flexible and less risky relative to the conditions for market power building in the goods market.

The detailed analysis points to the behavioral mechanism, i.e. perception alignment, and microstructural mechanism, i.e. incomplete order display, that could be responsive to regulation.

The originality of the findings is to uncover the mechanism of spoofing in taking advantage of behavioral biases of individual investors. The value is to gain more complete understanding of the essence of herding caused by spoofing.

This examine the impact of environmental, social and governance (ESG) performance on financial reporting quality (FRQ) before and during COVID-19 in the Egyptian market.

This study uses quarterly data from 2017 to 2021 to draw conclusions, with a sample consisting of 486 firm-year observations for 27 Egyptian companies listed on the Standard and Poor’s/Egyptian Stock Exchange ESG index. This study uses both firms’ ESG scores and the Beneish Model, an earnings detection model, as proxies for FRQ. COVID-19 effects on ESG performance and FRQ were examined by using Pearson’s correlation coefficient and two-stage least squares.

COVID-19 has a significant impact on the link between ESG and FRQ. This implies that corporations with high ESG performance are less likely to manipulate earnings (having a low M-score) and thus provide high FRQ during the COVID-19 pandemic. Moreover, there is a significant positive relationship between firm size, leverage and M-Score, indicating that large firms typically present a high FRQ.

The sample size and data availability are the main research limitations. Additionally, this study only considers the effects of firms’ ESG performance on FRQ during the COVID-19 pandemic. Thus, future research should consider other factors associated with investors’ corporate social responsibility (CSR).

This research has practical implications for market regulators seeking to establish a legislative framework and enhance guidance to mandate managers to provide ESG data and CSR reports appropriate for Egypt and other developing economies in times of crisis.

Promoting the adoption of ESG practices in business, particularly during crises, has the potential to effectively provide high-quality and reliable financial reporting required for investment.

This study aspires to address notable deficiencies in the pertinent literature concerning the relationship between ESG performance and FRQ during COVID-19. To the best of the authors’ knowledge, little is known about how ESG performance changes in response to pandemics in emerging markets. To address this gap, this study examines the effects of COVID-19 on the relationship between ESG performance and FRQ in Egyptian-listed firms from 2017 to 2021.

The purpose of this paper is to examine the impact of regulatory changes by the US Securities and Exchange Commission in 2000 on private information leakage prior to merger announcements.

Using a sample of 5,045 merger announcements between 1990 and 2008, the authors examine differences in information leakage between the pre- and post-regulation period merger announcements for acquirers using regression analysis.

The results suggest that regulatory changes have been effective in preventing private information leakage in merger announcements for large- and medium-sized firms, for high-tech firms, and for stock deals. The authors find that abnormal trading volume due to differences in information quality is reduced post-regulation for stock deals, high-tech firms, large- and medium-sized bidders, indicating less leakage of information after the new regulations. The authors find higher announcement returns post-regulation for the entire sample and for all subsamples except stock deals, small firms, and public targets. Higher announcement returns indicate that merger announcements are a greater surprise to the market due to a reduction in leaked private information after the regulatory changes.

The results have implications on future rule changes, on refinements of insider trading rules, regulation fair disclosure, and regulation M-A. The authors leave for future research why certain types of firms or deals are not impacted by regulatory changes.

Examine the effect of changes in information environment on merger announcements for acquirers because the impact likely has greater significance on acquirers than that on targets. Past studies have examined only targets.

This paper proposes a methodology for incorporating psychometric data such as stated preferences and subjective ratings of service attributes in econometric consumer's discrete choice models. Econometric formulation of the general framework of the methodology is presented, followed by two practical submodels. The first submodel combines revealed preference (RP) and stated preference (SP) data to estimate discrete choice models. The second submodel combines a linear structural equation model with a discrete choice model to incorporate latent attributes into the choice model using attitudinal data as their indicators. Empirical case studies on travel mode choice analysis demonstrate the effectiveness and practicality of the methodology.

Consumer choice theory (CCT) and the law of diminishing marginal utility help to explain shoppers that value less and prioritize needs. Additional units provide a marginal return on investment. Buying more does not mean equivalent gains for additional money spent. The researchers developed and validated the necessity shopper scale (NSS) to study need-focused shoppers.

The researchers followed standard psychometric practices to create and validate the NSS. The researchers performed item development, data collection, exploratory analysis, confirmatory factor analysis, and predictive validity analysis using survey data (N = 1,266).

Discriminant and convergent validity analyses demonstrated that the measure was distinct from existing measures. Predictive validity analysis found necessity shoppers (NS) are more likely to buy one over buy one get one half off (BOGOHO). NS were associated with a higher connection to community/group (CTCG). Higher hyperopia (i.e. disinclination to indulgence) with necessity shopping beliefs heightened this CTCG. A higher CTCG was associated with a greater likelihood to select BOGOHO.

NS (more connected to others) buy more to share with others, while buying just enough for themselves. Social connections are long-term investments involving more people and more needs to fulfill. Brands marketed with communal values and able to enhance social connections are discussed as implications to encourage NS to buy more.

This article considers the relationship between consumers’ valuation of performance improvements and technology development over the technology life cycle. Presenting a demand-based perspective, it explores how the character of life cycle maturity, the nature of competitive threats, and firms’ innovation incentives all change when consumer demand for performance matures in advance of a technology’s performance trajectories. It characterizes demand maturity by introducing the idea of a demand S curve as a complement to the traditional technology S curve. In doing so, it offers a new lens for assessing firms’ prospects of achieving superior performance through the commercialization of new technologies.

The purpose of this paper is to examine what happens to key brand performance metrics as brands change in market share, in the context of packaged goods. The metrics are: penetration—the number of buyers a brand has; and loyalty—measured as purchase frequency (PF) and share of category requirements (SCR).

The study utilizes 24 data sets in 17 packaged goods categories in three emerging markets: China, Malaysia and Indonesia. The authors examine changes in penetration, loyalty and SCR in the context of volume and value market share change. In addition, the authors examine whether initial price point and price movements influence the results.

The primary finding is that market share change is accompanied by a greater change in penetration than in any other metric. This finding is very consistent across categories and countries. The relative importance of the two loyalty metrics varies by country. SCR was a stronger factor in Indonesia, while PF was stronger in Malaysia. Analysis indicated that pricing strategy (initial price and promotional depth) did not alter the main pattern of results, suggesting the results hold for brands with different price levels and tactics.

Irrespective of circumstance, to grow in value or volume market share, brands should aim to grow in penetration, while the importance of changes in specific loyalty measures depends on market conditions.

This research extends past research on brand growth to the very different economic, geographic and cultural conditions of three crucially important emerging markets. Its main value lies in recommendations on how much to invest in building the size of the customer base vs consumer retention.

This research seeks to investigate the relationship between product bundling strategies and brand value.

Three studies were conducted, two using student subject pools and another using data collected from online auctions. The impacts of brand and bundling strategy stimuli on the dependent variables product choice and price paid were measured.

Bundles offered by low‐tier brands are more attractive when they are offered in a combined price format than in a partitioned price format. Bundles offered by high‐tier brands are more attractive when they are offered in a partitioned price format than in a combined price format.

The cost of bundle elements to the firm, which may influence consumer reference prices, is not considered in this research. Also, the impacts of bundle pricing strategies are evaluated on the bundles only; the influence of a given strategy on a product portfolio is left for future research.

Firms should consider the status of its brand within its product category before deciding on a bundle pricing strategy.

This research has important implications regarding the pricing of product bundles. It also provides a new perspective on how consumers evaluate product bundles