Since the US stock market crashed on October 19, 1987, many studies have been conducted to learn from this experience in the hopes of avoiding a similarly adverse future fall. The book, originally published as a special issue of theJournal of Financial Services Research, considers some of the important policy adjustments that have been implemented in the wake of the 1987 crash. Taken separately and together, these five papers offer a synthesis and summary of the most important policy innovations that have evolved since the largest single-day decline in stock market history.
This book will familiarize the interested investor with Swiss equity shares at a time when they are becoming an attractive investment. It provides a short historical perspective and shows how trends detrimental to the equity market were broken in the mid-1970s and early 1980s. The performance of the Swiss equity market over time is revealed and the main determinants of share price cycles are investigated. A brief description of the history, organization, and significance of all Swiss stock exchanges is provided. The book also provides all the information a dealer requires concerning procedures and costs, trading hours, and types of transactions, as well as quotation lists and samples of individual billings. It describes how to deal at a Swiss stock exchange and how to list a share there. Foreign investors are instructed as to how to deal with their tax situation, legal restrictions upon the transfer of shares, and the implications of Swiss banking secrecy. Swiss corporate finance reporting and accounting practices are explained and interpreted. An Appendix provides an analysis of the shares of leading Swiss companies.
Stock Market Modeling and Forecasting translates experience in system adaptation gained in an engineering context to the modeling of financial markets with a view to improving the capture and understanding of market dynamics. The modeling process is considered as identifying a dynamic system in which a real stock market is treated as an unknown plant and the identification model proposed is tuned by feedback of the matching error. Like a physical system, a financial market exhibits fast and slow dynamics corresponding to external (such as company value and profitability) and internal forces (such as investor sentiment and commodity prices) respectively. The framework presented here, consisting of an internal model and an adaptive filter, is successful at considering both fast and slow market dynamics. A double selection method is efficacious in identifying input factors influential in market movements, revealing them to be both frequency- and market-dependent.
Stock Market for Life is a short and easy to understand guide to investing based on ten years of teaching the Stock Market Game. The worksheets have helped hundreds of students grasp fundamental evaluation metrics such as Price to Earnings, Revenue and Net Income Growth, Return on Equity, net margins, and Price to Book. Mutual Funds, ETFs and bonds are also covered as well as shorting a stock and technical analysis. Although originally created for classroom use with middle school students, the background information, worksheets (with answer key), and checklists are designed to be a self-guided starting point to investing for investors of any age. The lessons begin with the assumption that the reader doesn't even know what a stock is; however, the concepts covered are varied and detailed enough for intermediate investors to enhance their overall understanding of investing.
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