This book presents a series of contributions on key issues in the decision-making behind the management of financial assets. It provides insight into topics such as quantitative and traditional portfolio construction, performance clustering and incentives in the UK pension fund industry, pension fund governance, indexation, and tracking errors. Markets covered include major European markets, equities, and emerging markets of South-East and Central Asia.
Design more successful trading systems with this practical guide to identifying alphas Finding Alphas seeks to teach you how to do one thing and do it well: design alphas. Written by experienced practitioners from WorldQuant, including its founder and CEO Igor Tulchinsky, this book provides detailed insight into the alchemic art of generating trading signals, and gives you access to the tools you need to practice and explore. Equally applicable across regions, this practical guide provides you with methods for uncovering the hidden signals in your data. A collection of essays provides diverse viewpoints to show the similarities, as well as unique approaches, to alpha design, covering a wide variety of topics, ranging from abstract theory to concrete technical aspects. You'll learn the dos and don'ts of information research, fundamental analysis, statistical arbitrage, alpha diversity, and more, and then delve into more advanced areas and more complex designs. The companion website, www.worldquantchallenge.com, features alpha examples with formulas and explanations. Further, this book also provides practical guidance for using WorldQuant's online simulation tool WebSim® to get hands-on practice in alpha design. Alpha is an algorithm which trades financial securities. This book shows you the ins and outs of alpha design, with key insight from experienced practitioners. Learn the seven habits of highly effective quants Understand the key technical aspects of alpha design Use WebSim® to experiment and create more successful alphas Finding Alphas is the detailed, informative guide you need to start designing robust, successful alphas.
Empirical research in HRM has focused on such issues as recruiting, testing, selection, training, motivation, compensation, and employee well-being. A review of the literature on these and other topics suggests that less than optimal methods have often been used in many HRM studies. Among the methods-related problems are using (a) measures or manipulations that have little or no construct validity, (b) samples of units (e.g., participants, organizations) that bear little or no correspondence to target populations, (c) research designs that have little or no potential for supporting valid causal inferences, (d) samples that are too small to provide for adequate statistical power, and (e) data analytic strategies that are inappropriate for the issues addressed by a study. As a result, our understanding of various HRM phenomena has suffered and improved methods may serve to enhance both the science and practice of HRM. In view of the above, the purpose of this volume of Research in Human Resource Management is to provide basic and applied researchers with resources that will enable them to improve the internal validity, external validity, construct validity, and statistical conclusion validity of research in HRM and the related fields of industrial and organizational psychology, and organizational behavior. Sound research in these fields should serve to improve both science and practice. With respect to science, support for a theory hinges on the validity of research used to support it. In addition, the results of valid research are essential for the development and implementation of HRM policies and practices. In the interest of promoting valid research-based inferences in HRM research, the chapters in this volume identify a wide range of methods-related problems and offer recommendations for dealing with them. Chapters in it address such HRM research-related topics as neglected research issues, causal inferences in research, heteroscedasticity in research, range restriction in research, interrater agreement indices, and construct validity issues in measures of such constructs as job performance, organizational politics, and safety climate.
"This compilation will provide ready reference for potential toxicity of chemicals found in the workplace, and should be useful to occupational health physicians, industrial hygienists, toxicologists, and researchers." Alphabetical arrangement by substances. Entries include such details as molecular weight, Wiswesser Line Notation, synonyms, and reference from which data about toxicity derived. Miscellaneous appendixes, including one titled Aquatic toxicity. Bibliographic references.
