Ted Peterson, son of former missionaries to Guatemala, returns to that country to solve the mystery of his father's disappearance. Caught up in a culture of violence and deadly secrets, what he learns is as much about himself as his father.

Ted Peterson, son of former missionaries to Guatemala, returns to that country to solve the mystery of his father's disappearance. Caught up in a culture of violence and deadly secrets, what he learns is as much about himself as his father.

In the years since the publication of the best-selling first edition, the incorporation of ideas and theories from the rapidly growing field of financial economics has precipitated considerable development of thinking in the actuarial profession. Modern Actuarial Theory and Practice, Second Edition integrates those changes and presents an up-to-date, comprehensive overview of UK and international actuarial theory, practice and modeling. It describes all of the traditional areas of actuarial activity, but in a manner that highlights the fundamental principles of actuarial theory and practice as well as their economic, financial, and statistical foundations.

The essential guide to quantifying risk vs. return has been updated to reveal the newest, most effective innovations in financial risk management Written for risk professionals and non-risk professionals alike, this easy-to-understand guide helps readers meet the increasingly insistent demand to make sophisticated assessments of their company’s risk exposure Provides the latest methods for measuring and transferring credit risk, increase risk-management transparency, and implement an organization-wide Enterprise risk Management (ERM) approach The authors are renowned figures in risk management: Crouhy heads research and development at NATIXIS; Galai is the Abe Gray Professor of Finance and Business Asdministration at Hebrew University; and Mark is the founding CEO of Black Diamond Risk

The type of research methodologies used in analysing stock returns in the book is outlined in this technical chapter. The chapter begins with definitions of useful summary statistics, such as the mean, standard deviation, coefficient of variation, and their interpretation. Tests statistics for inferences on population means, proportions and differences of means, among others, are also presented. A summary of single equation regression techniques and the way these are applied through estimation and inference are outlined, focusing on the interpretation of standard output and diagnostic tests. The single equation methodology is then extended to multiple equation systems; the methods of Multivariate Least Square (MLSQ) of Seemingly Unrelated Regression Equations (SURE) are Regressions as well as those considered. Time series, ARlMA, models form also part of the discussion. This is a chapter, which is aimed at readers who are interested in understanding the technical background used in deriving results later in the book. 2.2. Summary Statistics for a set of Data A set of numbers which are generated by agents' actions in the market, and which can take different values if the agents were to repeat their actions, are known as random variables. For example, prices of shares in the stock exchange are determined at each point in time from the collective actions of agents operating in the market through their demand and supply decisions. The price of a share is thus a random variable, and so is the return of the share.