Relationship between portfolio diversification and value at risk: Empirical evidence

This research explores the risk associated with the stocks prices in the seventeen selected companies that are listed in Indian BSE (100) National as well as portfolios of investment that are constructed from these seventeen companies employed. Additionally, for considering the possibility of international diversification, construction of portfolios of investment form stock price indexes in various emerging markets and developed countries of the world is considered. Correlations for domestically as well as internationally diversified portfolios are computed to unveil the relationship between stock prices of various firms as well as domestic and internationally diversified portfolios of investments. Further, to understand the effect of diversification on the risk associated with each of the portfolios of investments employed, value at risk analysis (VaR) is undertaken for studying the benefits associated with domestic as well as international diversification (if any).The study results show that domestic diversification lowers the expected losses associated with each of the domestic portfolios of investment employed where the international diversification substantially mitigates the portfolio risks. Results from VaR analysis reveal that diversification lowers the portfolio risks and additional reduction in portfolio risks is realized by international diversification.     

Fiscal Balance and Current Account in Professional Forecasts

This paper investigates the relationship between financial institutions' expectations of the current account and the fiscal balance. Using professional macroeconomic forecasts for the G‐7 countries, we find a positive relationship between forecasts of the cyclically adjusted fiscal balance deficit and forecasts of the current account deficit, indicating that professional forecasts embody links implied by the twin deficits hypothesis. In assessing the relationship between the forecasts of the fiscal deficit and the current account, we find that forecasters correctly make the distinction between the effect of fiscal policy and automatic stabilizers.     

Financial factors and firm growth: evidence from financial data on Taiwanese firms

We investigate the possible predictability of firm growth in Taiwan using cross-sectional data of financial factors for the years 1997 and 2003 via principal component analysis. Our results reveal that the 18 financial variables (sales growth rate, total assets, total sales, return on assets, return on equity, gross margin, operating cost minus depreciation divided by sales plus other trading income, acid test ratio, debt–equity ratio, time interest earned, average receivables per average daily sales, inventory, average payables per average daily sales, working capital, working capital as a fraction of total assets, long-term liabilities as a fraction of total assets, and sales as a fraction of net worth of the firm) that we employ bunch together into five different financial ratios for the years 1997 and 2003 that are stable between these years. These financial factors are short-term liquidity, return on investment, long-term liquidity, firm size and capital turnover. Regressing these ratio groups (extracted principal components) on firm growth, we find return on investment in the year 1997 was positively and significantly related to firm growth, while long-term solvency was negatively related to firm growth. In addition, smaller firms tended to grow faster. By 2003, larger firms grew faster than smaller ones and short-term liquidity was positively and significantly related to firm growth, while return on investment was no longer a significant determining factor. Our findings suggest that firms that finance internally or do not rely too heavily on indebtedness may end up growing slower during boom periods but they are the ones that survive and outperform after the bust.     

From desire to help to taking action: Effects of personal traits and social media on market mavens’ diffusion of information

While extant research has studied traits of market mavens and the link from mavenism to market helping behavior, there is a need for more research to understand personal and contextual factors that influence actual recommendations of products and differences among market mavens with different traits in that respect. In this study, we took research in the area of market mavenism one step further and investigated the role of personal traits such as self‐esteem and susceptibility to normative interpersonal influence, and the contextual factor of social media, in the frequency of recommendations. We hypothesize that while market mavens with lower self‐esteem are likely to engage in less frequent recommendations, negative effect of their lower self‐esteem is attenuated when they use social media platforms as their medium of choice. Our findings lend support to our hypotheses, including the triple interaction effect between self‐esteem, choice of social media, and market mavenism on market recommendations.     

A new procedure for monitoring the range and standard deviation of a quality characteristic

The Shewhart and the Bonferroni-adjustment R and S chart are usually applied to monitor the range and the standard deviation of a quality characteristic. These charts are used to recognize the process variability of a quality characteristic. The control limits of these charts are constructed on the assumption that the population follows approximately the normal distribution with the standard deviation parameter known or unknown. In this article, we establish two new charts based approximately on the normal distribution. The constant values needed to construct the new control limits are dependent on the sample group size (k) and the sample subgroup size (n). Additionally, the unknown standard deviation for the proposed approaches is estimated by a uniformly minimum variance unbiased estimator (UMVUE). This estimator has variance less than that of the estimator used in the Shewhart and Bonferroni approach. The proposed approaches in the case of the unknown standard deviation, give out-of-control average run length slightly less than the Shewhart approach and considerably less than the Bonferroni-adjustment approach.     

How and when entrepreneurs’ passion lead to firms’ radical innovation: moderated mediation model

ABSTRACT

The extant literature affirms that passion is important for entrepreneurs’ success. However, the related studies have failed to explain how and when entrepreneurial passion (EP) affects firms’ radical innovation (RI). The current study explores the connections between EP and firms’ RI and mediation of exploratory learning (EL) in this relationship. Moreover, we investigate the moderating role of the Zhong–Yong thinking (ZYT) of Chinese entrepreneurs. Findings from 310 new Chinese enterprises demonstrate that EP directly influences RI and indirectly through EL. ZYT of entrepreneurs can likewise reinforce the connection between their EP and RI via EL. Lastly, we discuss the theoretical and practical implications of our findings.     

Public procurement for innovation through supplier firms' sustainability lens: A systematic review and research agenda

Public sector purchasing processes are gaining increasing prominence as a demand-side innovation tool for addressing national sustainability challenges. Accordingly, there has been growing research attention to this topic. Prior studies suggest three key rationales that underlie the use of public sector procurement to drive innovation: (i) the buyer–user rationale (for creating new needs); (ii) the market/system failure rationale (for improving suppliers' capacity to innovate); and (iii) the public services rationale (for improving public services). However, operational activities at the upstream supply chain affecting the sustainable innovation capacities of supplier firms appear to be under-researched in the public procurement for innovation (PPI) scholarship, despite knowledge about innovation capacity being critical to successfully implementing PPI. This paper adopts a systematic literature review approach to synthesise existing fragmented literature on sustainability-oriented PPI, focusing on supplier perspectives. Findings from a synthesis of 41 relevant articles suggest, among others conditions, that a procurement framework that maintains a good balance of competition and innovation, builds buyer–supplier relationship and urges strong supply networks, maintains a stable political commitment, offers security for niche markets with effective innovation risk management culture would enhance suppliers' sustainability capacity and propensity to innovate. This paper contributes to the PPI literature and the literature on determinants of sustainable innovation systems from supplier firms' sustainability lens.     

Federal budget deficits and long-term interest rates in USA

We investigate whether the emergence of high inflation rates after 1965 and large budget deficits after 1980s caused the financial market agents to become more sensitive to the outlooks for inflation and budget deficits. Our approach is parametric and our models fully account for possible presence of ARCH effects in the data.Our results show a statistically significant positive link between the budget deficits and the slope of the yield curve which is more pronounced in the later sub-sample period. These results are in line with Reinhard and Sack [Reinhard, V., & Sack, B. (2000). The economic consequences of disappearing government debt. Brooking Papers of Economic Activity, 163–209] but in sharp contrast with Evans [Evans, P. (1985). Do large deficits produce high interest rates? American Economic Review, 7, 68–87] and Evans [Evans, P. (1987). Do budget deficits raise nominal interest rates? Journal of Monetary Economics, 20, 281–300].     

On Business Cycle Asymmetries in G7 Countries

We investigate whether business cycle dynamics in seven industrialized countries (the G7) are characterized by asymmetries in conditional mean. We provide evidence on this issue using a variety of time series models. Our approach is fully parametric. Our testing strategy is robust to any conditional heteroskedasticity, outliers, and/or long memory that may be present. Our results indicate fairly strong evidence of nonlinearities in the conditional mean dynamics of the GDP growth rates for Canada, Germany, Italy, Japan, and the US. For France and the UK, the conditional mean dynamics appear to be largely linear. Our study shows that while the existence of conditional heteroskedasticity and long memory does not have much effect on testing for linearity in the conditional mean, accounting for outliers does reduce the evidence against linearity.