Search results

The following is an introductory profile of the fastest growing firms over the three-year period of the study listed by corporate reputation ranking order. The business activities in which the firms are engaged are outlined to provide background information for the reader.

A variety of equity-linked insurance contracts such as variable annuities (VA) and equity-indexed annuities (EIA) have gained their attractiveness in the past decade because of the bullish equity market and low interest rates. Due to the complexity of their inherent nature, pricing and risk management of these products are quantitatively challenging and therefore have become sources of concern to many insurance companies. From a financial engineer's perspective, the options in VA and those embedded in EIA can be modeled as puts and calls, respectively, and enable the use of numerical option pricing techniques. Additionally, values of VA and EIA move in opposite directions in response to changes in the underlying equity value. Therefore, for insurers who offer both businesses, there are natural offsets or diversification benefits in terms of economic capital (EC) usage. In this chapter, we consider two specific products: the guaranteed minimal account benefit (GMAB) and the point-to-point (PTP) EIA contract, which belong to the VA and EIA classes respectively. Taking into account mortality risk and suboptimal dynamic lapse behavior, we build a framework that quantifies the value of each product and the natural hedging benefits based on risk-neutral option pricing theory. With Monte Carlo simulation and finite difference methods being implemented, an optimum product mixture of those two contracts is achieved that deploys capital the most efficiently.

In this chapter we concentrate at the most popular model for convertible bond (CB) valuation in a one-factor, stochastic underlying stock price setting. Through the last decade, the Tsiveriotis–Fernandes model (1998) has become a widely commented model that involves the state of default of the issuer of the CB. A routine approach to the solution of this model is the usage of methods of finite difference schemes (FDS). However, for many people trained in finance these methods are not very intuitive and they tend to ignore them and prefer to use binomial-tree approach as more intuitive technique. For that reason, our primary focus is to highlight the answer of the so far unanswered question: Does the binomial-tree approach to CBs provide accurate pricing, hedging, and risk assessment? We show on a set of representative examples that by using binomial-tree methodology one is unable to provide a consistent analysis of the pricing, hedging, and risk assessment. We start the chapter with the basics of CBs and CB market. We then explain the implementation of TF model within binary-tree approach. We conclude the chapter with performance valuation of binomial-tree approach showing unexpected behavior in practice areas such as pricing (profile of CB's price versus underlying stock price), hedging (performance of CB's delta, gamma, and convertible arbitrage strategy versus underlying stock), and risk assessment (Monte Carlo VaR with respect to the underlying).

Private standards are increasingly governing international food trade, but little is known about the implications for developing countries. The objective of the study is to provide evidence in the ongoing debate on standards as barrier or catalyst for developing countries’ export. We use the Peruvian fresh asparagus export sector as a case study and provide empirical panel data evidence on the effects of certification to private food standards on export volumes of firms. Our dataset on the transactions of 567 export firms from 1993 to 2011 allows us to take export dynamics and time trends into account, as well as to keep country and sector specific effects constant. In our empirical strategy, we first use simple OLS and ignore firm-specific unobservable effects and dynamic export patterns. We then account for export persistence, as well as company fixed effects and finally, use System-GMM estimators to address potential reversed causality issues. These approaches represent substantial methodological improvements compared with previous studies on the trade effects of private standards. The empirical innovation is crucial for accurate impact estimation, as results indicate that certification to standards has a positive effect on the export volumes of companies, but that the significant effect dwindles as soon as unobserved firm heterogeneity and export persistency are properly controlled for. Additional studies with large data availabilities are needed to further disentangle the effect and confirm the case study results.