The Efficient Market Hypothesis and its Application to Stock Markets


Book Description

Research Paper (undergraduate) from the year 2008 in the subject Business economics - Investment and Finance, grade: 1.7, The FOM University of Applied Sciences, Hamburg, language: English, abstract: Especially after the 90ies, where the stock markets raised enormously, many private investors joined the stock market and were blended by abnormal profits and neglected possible losses. The same behavior could be observed before the Financial Crisis became reality. But each endless raising stock market would finally collapse, because stock prices are randomly and only driven by relevant news. The adjustment to the news is quickly. This is the theoretical argumentation of the Efficient Market Hypothesis (EMH), which will be evaluated in this paper. The author gives an overview about the EMH by explaining the basic principles and its mathematical formulation. The practical part evaluated the EMH on selected examples, where the theory could only be partly approved.




The Efficient Market Theory and Evidence


Book Description

The Efficient Market Hypothesis (EMH) asserts that, at all times, the price of a security reflects all available information about its fundamental value. The implication of the EMH for investors is that, to the extent that speculative trading is costly, speculation must be a loser's game. Hence, under the EMH, a passive strategy is bound eventually to beat a strategy that uses active management, where active management is characterized as trading that seeks to exploit mispriced assets relative to a risk-adjusted benchmark. The EMH has been refined over the past several decades to reflect the realism of the marketplace, including costly information, transactions costs, financing, agency costs, and other real-world frictions. The most recent expressions of the EMH thus allow a role for arbitrageurs in the market who may profit from their comparative advantages. These advantages may include specialized knowledge, lower trading costs, low management fees or agency costs, and a financing structure that allows the arbitrageur to undertake trades with long verification periods. The actions of these arbitrageurs cause liquid securities markets to be generally fairly efficient with respect to information, despite some notable anomalies.




The World of Economics


Book Description

What are the central questions of economics and how do economists tackle them? This book aims to answer these questions in 100 essays, written by economists and selected from "The New Palgrave: A Dictionary of Economics". It shows how economists deal with issues ranging from trade to taxation.




Handbook of Research on Theory and Practice of Global Islamic Finance


Book Description

As an emerging global phenomenon, Islamic economics and the financial system has expanded exponentially in recent decades. Many components of the industry are still unknown, but hopefully, the lack of awareness will soon be stilled. The Handbook of Research on Theory and Practice of Global Islamic Finance provides emerging research on the latest global Islamic economic practices. The content within this publication examines risk management, economic justice, and stock market analysis. It is designed for financiers, banking professionals, economists, policymakers, researchers, academicians, and students interested in ideas centered on the development and practice of Islamic finance.




A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing (Ninth Edition)


Book Description

Updated with a new chapter that draws on behavioral finance, the field that studies the psychology of investment decisions, the bestselling guide to investing evaluates the full range of financial opportunities.




Adaptive Markets


Book Description

A new, evolutionary explanation of markets and investor behavior Half of all Americans have money in the stock market, yet economists can’t agree on whether investors and markets are rational and efficient, as modern financial theory assumes, or irrational and inefficient, as behavioral economists believe. The debate is one of the biggest in economics, and the value or futility of investment management and financial regulation hangs on the answer. In this groundbreaking book, Andrew Lo transforms the debate with a powerful new framework in which rationality and irrationality coexist—the Adaptive Markets Hypothesis. Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency is incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo’s new paradigm explains how financial evolution shapes behavior and markets at the speed of thought—a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation. An ambitious new answer to fundamental questions about economics and investing, Adaptive Markets is essential reading for anyone who wants to understand how markets really work.




Finance


Book Description

This is an excerpt from the 4-volume dictionary of economics, a reference book which aims to define the subject of economics today. 1300 subject entries in the complete work cover the broad themes of economic theory. This extract concentrates on finance.




Inefficient Markets


Book Description

The efficient markets hypothesis has been the central proposition in finance for nearly thirty years. It states that securities prices in financial markets must equal fundamental values, either because all investors are rational or because arbitrage eliminates pricing anomalies. This book describes an alternative approach to the study of financial markets: behavioral finance. This approach starts with an observation that the assumptions of investor rationality and perfect arbitrage are overwhelmingly contradicted by both psychological and institutional evidence. In actual financial markets, less than fully rational investors trade against arbitrageurs whose resources are limited by risk aversion, short horizons, and agency problems. The book presents and empirically evaluates models of such inefficient markets. Behavioral finance models both explain the available financial data better than does the efficient markets hypothesis and generate new empirical predictions. These models can account for such anomalies as the superior performance of value stocks, the closed end fund puzzle, the high returns on stocks included in market indices, the persistence of stock price bubbles, and even the collapse of several well-known hedge funds in 1998. By summarizing and expanding the research in behavioral finance, the book builds a new theoretical and empirical foundation for the economic analysis of real-world markets.




Choosing Leadership


Book Description

Choosing Leadership is a new take on executive development that gives everyone the tools to develop their leadership skills. In this workbook, Dr. Linda Ginzel, a clinical professor at the University of Chicago’s Booth School of Business and a social psychologist, debunks common myths about leaders and encourages you to follow a personalized path to decide when to manage and when to lead. Thoughtful exercises and activities help you mine your own experiences, learn to recognize behavior patterns, and make better choices so that you can create better futures. You’ll learn how to: Define leadership for yourself and move beyond stereotypes Distinguish between leadership and management and when to use each skill Recognize the gist of a situation and effectively communicate it with others Learn from the experience of others as well as your own Identify your “default settings” and become your own coach And much more Dr. Linda Ginzel is a clinical professor of managerial psychology at the University of Chicago’s Booth School of Business and the founder of its customized executive education program. For three decades, she has developed and taught MBA and executive education courses in negotiation, leadership capital, managerial psychology, and more. She has also taught MBA and PhD students at Northwestern and Stanford, as well as designed customized educational programs for a number of Fortune 500 companies. Ginzel has received numerous teaching awards for excellence in MBA education, as well as the President’s Service Award for her work with the nonprofit Kids In Danger. She lives in Chicago with her family.




An Introduction to Algorithmic Trading


Book Description

Interest in algorithmic trading is growing massively – it’s cheaper, faster and better to control than standard trading, it enables you to ‘pre-think’ the market, executing complex math in real time and take the required decisions based on the strategy defined. We are no longer limited by human ‘bandwidth’. The cost alone (estimated at 6 cents per share manual, 1 cent per share algorithmic) is a sufficient driver to power the growth of the industry. According to consultant firm, Aite Group LLC, high frequency trading firms alone account for 73% of all US equity trading volume, despite only representing approximately 2% of the total firms operating in the US markets. Algorithmic trading is becoming the industry lifeblood. But it is a secretive industry with few willing to share the secrets of their success. The book begins with a step-by-step guide to algorithmic trading, demystifying this complex subject and providing readers with a specific and usable algorithmic trading knowledge. It provides background information leading to more advanced work by outlining the current trading algorithms, the basics of their design, what they are, how they work, how they are used, their strengths, their weaknesses, where we are now and where we are going. The book then goes on to demonstrate a selection of detailed algorithms including their implementation in the markets. Using actual algorithms that have been used in live trading readers have access to real time trading functionality and can use the never before seen algorithms to trade their own accounts. The markets are complex adaptive systems exhibiting unpredictable behaviour. As the markets evolve algorithmic designers need to be constantly aware of any changes that may impact their work, so for the more adventurous reader there is also a section on how to design trading algorithms. All examples and algorithms are demonstrated in Excel on the accompanying CD ROM, including actual algorithmic examples which have been used in live trading.