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This study aims to analyze the returns obtained from companies with strong growth potential (growth stocks) and the returns from companies with quite low stock prices, but with high value (value stocks).

The sample comprises monthly data, from January 2002 to December 2016, from seven countries, Germany, France, Switzerland, the UK, Portugal, the USA and Japan. The authors have used linear regression models for three different periods, the pre-crisis, subprime crisis and post-crisis period.

The results point out that the performance of value and growth stocks differs from different periods surrounding the global financial crisis. In fact, for six countries, value stocks outperformed growth stocks in the period that precedes the subprime crisis and during the crisis, this tendency remained only for France, Portugal and Japan. This trend changed in the period following the crisis. The results also show that investor sentiment has a robust significance in value and growth stock returns, mostly in the period before the crisis, highlighting that the investor sentiment is more significant in the moments that the value stocks outperformed.

As far as the authors know, this is the first work that, taking into account the future research lines of Capaul et al. (1993), investigates whether the results obtained by those authors remain current, meeting the authors’ challenge and covering the gap of recent studies on the performance of value and growth stocks. Besides, the authors have introduced a new country, heavily punished by both the global financial crisis and the sovereign debt crisis to understand whether there are significant differences in investment styles and whether this is related to the different economies. Also, in this context, the authors were pioneers in adding investor sentiment as an exogenous variable in the influence of stock returns.

The study discussed in this article examines two empirical questions: (1) Can multiple financial signals enhance the intermediate-horizon returns of value and glamour investments on Asian stock markets? and (2) Do the return enhancements, if any, differ by value and growth firm types and vary across different markets? The results of this study show that financial signals affect return enhancements, and these enhancements differ by firm types and vary across markets. These differences can be explained by non-positive value premiums and relatively poor information quality documented on Asian markets.

Reviews the equipment and processing challenges involved in the initial stages of the manufacture of large area back plane printed wiring boards and describes some of the techniques employed by APW Electronic Solutions.

The purpose of the paper is to investigate the relation between the value/growth anomaly and the external financing anomaly by considering an expanded value/growth indicator: free cash flow yield (free cash flows scaled by price).

The paper utilizes portfolio‐level tests and cross‐sectional regressions.

In line with the literature on contrarian portfolios, this paper finds that firms with low (high) free cash flow yield are experiencing low (high) returns. However, only when an investor buys (sells) stocks of firms with high (low) free cash flow yield that distribute (raise) capital, his zero‐cost portfolio is significant. These findings are robust, irrespective of the financing vehicle (equity or debt). Overall, their evidence suggests that distinctions between the value/growth anomaly and the external financing anomaly partially disappear, if one is willing to employ free cash flow yield as a proxy of the former anomaly.

The paper enhances one's understanding of the relation between asset pricing anomalies.

The purpose of current analytical work is to identify the critical barriers in social isolation in India amid Coronavirus infection disease (COVID) outbreak using the fuzzy-analytical hierarchical process (AHP) method.

The conventional AHP is insufficient for tackling the vague nature of linguistic assessment. Fuzzy AHP had been developed to resolve the hierarchical fuzzy problems, avoiding its risks on performance. In AHP, all comparisons are not included; thus, to find the priority of one decision variable over other, triangular fuzzy numbers are used.

A total of eight critical barriers in social distancing in India during COVID-19 have been compared and ranked. Dense population has emerged as the most culpable barrier in social isolation in India amid COVID outbreak followed by compulsion for pecuniary earning and general incautiousness. A total of eight critical barriers in social distancing in India during COVID-19 in four categories (societal barriers, insufficient facilitation barriers, growth-related barriers and population related barriers) have been compared and ranked.

On the basis of the numeral values, “growth-related barriers” attained top position followed by “population-related barriers” and “insufficient facilitation barriers.” The current work has explored the possible factors which can become key game changers to control the pace of spread of the pandemic.

The purpose of this paper is to investigate the seasonal effect in the value premium puzzle. It studies whether the book‐to‐market effect is an outcome of the January effect observed among stock returns.

The paper uses returns of portfolios based on size and BE/ME ratios as Fama and French suggest to define value premium and investigate the seasonality of the BE/ME effect. The paper tests whether the value premiums observed among large and small stocks are different in January and non‐January months. It examines the turn‐of‐the‐year effect on the value premium by analyzing the returns of BE/ME portfolios during the first and last ten trading days of a calendar year.

Empirical evidence supports the fact that value premium has different patterns in January and non‐January months for large and small capitalization firms. It was found that large stocks have a significant value premium only in January and this high January value premium among large stocks is mainly driven by loser stocks at the turn of the year. In contrast with large stocks, the value premium of small stocks occurs only in non‐January months.

This paper shows that value premium of large and small stocks are different in January and non‐January months. Furthermore, the past performance of stocks plays a key role in the observed January value premium among large stocks. Finally, this study provides evidence to show that the value premium among large stocks may be explained by investor trading behavior.

RUNNING A LARGE, MULTI‐BUSINESS COMPANY HAS never been harder than it is today. For one thing, investors tend to accord higher multiples to “pure play” firms, in part because they understand what they're buying. In a 1998 study, for example, Raghuram Rajan, Henri Servaes, and Luigi Zingales found that the shares of highly diversified firms traded, on average, for almost 10% less than those of focused firms during the 1980s and early 1990s (National Bureau of Economic Research Working Paper No. 6368).

Analyzing how the post-Soviet transition interacts with the crisis of market finance exhibits a new “greed-based economic system” in the making. Asset grabbing is at its core and hinders capital accumulation. All the various privatization schemes have triggered off asset grabbing, asset stripping, and asset tunneling. A global contagion of such behavior has spread the power and cohesion of managers/shareholders (oligarchs) worldwide. Financial asset grabbing is less straightforward, though much widespread, and operates in financial markets through new financial products, securitization, firms buying their own shares, hedge funds, stock price manipulation, short selling, and the distribution of stock options.Shadow banking, and more generally a global informal economy, results from grabbing strategies in financial markets that breach the formal rules of capitalism. In alleviating and circumventing the rules, the oligarchy paves the way for economic malpractices and crime, calling capitalist laws into question.In such context, systemic greed underlies unconstrained maximization of relative wealth, for which asset grabbing is a rational means, in a winner-take-all economy. At the present stage of our research, a greed-based economy cannot yet be theoretically defined as a transition either to a new phase of capitalism or to another different system.

The purpose of this paper is to test whether investor sentiment is a significant predictor of future Mexican stock market returns. It also estimates the dynamic correlation between investor sentiment and equity returns. Finally, it examines if investor sentiment innovations impact unexpected returns for a variety of portfolios.

This study utilizes predictive regressions to determine if sentiment can predict Mexican equity returns. Multivariate GARCH models are estimated to examine the time-varying correlations between investor sentiment and equity returns.

The results show that Mexican investor sentiment is a significant predictor of Mexican equity returns for up to 24 months ahead. The findings show that high levels of sentiment today are associated with lower equity returns over the near term. Furthermore, multivariate GARCH estimations indicate that the correlation between investor sentiment and equity returns is not static and varies considerably over time. Finally, the findings indicate that sentiment innovations are significantly correlated with unexpected returns, reinforcing the notion that unexplained sentiment fluctuations lead to unexplained changes in stock market returns. Overall, these results suggest that investor sentiment is a significant source of risk for the Mexican stock market.

This study seeks to further our understanding of how behavioral factors influence and predict Mexican equity returns.