Determination of the most influential factors for number of patents prediction by adaptive neuro-fuzzy technique

Number of patents may be developed on the basis on different natural and science and technological factors. Number of patents prediction based on the different factors in many countries is analyzed in this investigation. These factors represent natural and science resources. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data in order to select the most influential factors for the number of patents prediction. Five inputs are considered: research and development (R&D) resources, natural resources, quality of academic institutions, quality of collaboration with the private sector and quality of education. As the ANFIS output, number of patents is considered. The ANFIS process for variable selection is also implemented in order to detect the predominant factors affecting the prediction of number of patents. Results show that the R&D is the most influential factor for the number of patents prediction.     

Size and diversity in VC syndicates and their impact on IPO performance

This paper investigates the impact of venture capital (VC) syndicate size and composition on the IPO and post-IPO performances of investee companies in an attempt to shed some light on the extent to which larger and more diverse syndicates are more likely to suffer from internal agency problems which might hinder the decision-making process and lead to less value added for their portfolio companies. The question is of great relevance because, while the vast majority of the empirical literature compares VC backed IPOs with non-VC backed ones, most VC funding is provided by syndicates of two or more financiers. We construct alternative measures of size as well as diversity based on several VC characteristics such as age, geographic location, type and affiliation of VC firms and find that larger and more diverse syndicates are associated with higher underpricing and lower valuation at the IPO date. Furthermore, we provide evidence that that diversity and size are negatively correlated to the long-term performance of the IPO firms and this finding is robust to several alternative measures of long-term performance.     

On the Class of Erlang Mixtures with Risk Theoretic Applications

Abstract

A wide variety of distributions are shown to be of mixed-Erlang type. Useful computational formulas result for many quantities of interest in a risk-theoretic context when the claim size distribution is an Erlang mixture. In particular, the aggregate claims distribution and related quantities such as stop-loss moments are discussed, as well as ruin-theoretic quantities including infinitetime ruin probabilities and the distribution of the deficit at ruin. A very useful application of the results is the computation of finite-time ruin probabilities, with numerical examples given. Finally, extensions of the results to more general gamma mixtures are briefly examined.     

The Power(lessness) of Industry Self-regulation to Promote Responsible Labor Standards: Insights from the Chinese Toy Industry

The provision of responsible labor standards along the entire value chain poses considerable challenges for corporations. In particular, management shortcomings and institutional deficits—which are partly related to cultural issues—frequently impede the realization of responsible business practices in emerging and developing countries. It is widely established in theory that industry self-regulation constitutes a particularly promising approach for overcoming these challenges. Nonetheless, it is still an open question as to whether industry initiatives effectively promote responsible standards in practice. This contribution aims to enrich the current discussion about the power of industry self-regulation to ensure responsible labor standards in factories in emerging and developing countries. For this purpose, we analyze the ICTI CARE Process (ICP), the self-regulation initiative of the international toy industry, that aims to promote responsible business practices in Chinese toy factories. The assessment of the ICP shows that corporations’ buying behavior is decisive in order for industry self-regulation to become an appropriate means of improving labor standards. Based on the insights from the study and from theoretical reasoning, we develop a framework for effective industry self-regulation that integrates the perspective of factories.     

Food Regime Analysis in a Post‐Neoliberal Era: Argentina and the Expansion of Transgenic Soybeans

This paper uses the food regime literature to analyse the political and economic relations promoting the expansion of soybeans in Argentina following the post‐neoliberal turn in the early 2000s. Continuities of the agrarian expansion from the neoliberal to post‐neoliberal model highlight the state's role in supporting a neoliberal food regime. Neoregulation in the post‐neoliberal agenda continues to favour increased production of transgenic food over ecological and human‐health considerations. Moreover, the emergence of new corporate and transnational actors has contributed to a new form of corporate‐agrarian governance premised on biotechnology. First, a food regime lens is used to describe the expansion of transgenic soybeans in Argentina, followed by an analysis of planning documents to show the state's position in reproducing neoliberal discourses and policies favouring the expansion of agriculture. The conclusion discusses the utility of food regime analysis for explaining the new forms of agricultural governance in Argentina.     

The effects of venture capital syndicate diversity on earnings management and performance of IPOs in the US and UK: An institutional perspective

This study examines the extent to which principal–principal agency conflicts within venture capital (VC) syndicates lead to additional principal–agent conflicts in IPO firms in two institutional contexts. Using a matched sample of 274 VC-backed IPOs in the US and the UK, it shows that the diversity of a VC syndicate increases pre-IPO discretionary current accruals, used as a proxy for earnings management, but the impact of such diversity is higher in the US. There is also evidence of higher underpricing and lower aftermarket performance in firms with higher earnings management and VC diversity, and these negative performance effects are also higher in the US. Our findings indicate that local and informal institutions have a significant effect on multiple agency conflicts in IPO firms and performance outcomes.     

On the Moments of the Time of Ruin with Applications to Phase-Type Claims

Abstract

We describe an approach to the evaluation of the moments of the time of ruin in the classical Poisson risk model. The methodology employed involves the expression of these moments in terms of linear combinations of convolutions involving compound negative binomial distributions. We then adapt the results for use in the practically important case involving phase-type claim size distributions. We present numerical examples to illuminate the influence of claim size variability on the moments of the time of ruin.     

A Gravity Model of Mortality Rates for Two Related Populations

Abstract

The mortality rate dynamics between two related but different-sized populations are modeled consistently using a new stochastic mortality model that we call the gravity model. The larger population is modeled independently, and the smaller population is modeled in terms of spreads (or deviations) relative to the evolution of the former, but the spreads in the period and cohort effects between the larger and smaller populations depend on gravity or spread reversion parameters for the two effects. The larger the two gravity parameters, the more strongly the smaller population’s mortality rates move in line with those of the larger population in the long run. This is important where it is believed that the mortality rates between related populations should not diverge over time on grounds of biological reasonableness. The model is illustrated using an extension of the Age-Period-Cohort model and mortality rate data for English and Welsh males representing a large population and the Continuous Mortality Investigation assured male lives representing a smaller related population.     

Determining the Optimum Guarantee Period for a One-Life Retirement Annuity

Abstract

We consider a risk averse retiree from a defined contribution plan who decides to purchase a onelife annuity with a guarantee period. Given the retiree has a bequest motive, we focus on the problem of determining the optimum length of the guarantee period. Assuming the retiree’s bequest function is proportional to his or her utility function, we determine necessary and/or sufficient conditions under which the retiree would choose an annuity with (i) no guarantee period, (ii) the maximum guarantee period, or (iii) an intermediate guarantee period.