In this paper we will discuss the relationship among volume, volatility and return momentum in global financial markets. It turns out that when the volatility is large i.e. the difference between the daily high price and the daily low price is large then the trading volume is also large. We also found that a momentum strategy on volume perform on par with a momentum return investment strategy. A significant amount of positive serial correlation was also found in the volatility and volume.
Volatility is very much with us in today's equity markets. Day-to-day price swings are often large and intra-day volatility elevated, especially at market openings and closings. What explains this? What does this say about the quality of our markets? Can short-period volatility be controlled by better market design and a more effective use of electronic technology? Featuring insights from an international array of prominent academics, financial markets experts, policymakers and journalists, the book addresses these and other questions concerning this timely topic. In so doing, we seek deeper knowledge of the dynamic process of price formation, and of the market structure and regulatory environment within which our markets function. The Zicklin School of Business Financial Markets Series presents the insights emerging from a sequence of conferences hosted by the Zicklin School at Baruch College for industry professionals, regulators, and scholars. Much more than historical documents, the transcripts from the conferences are edited for clarity, perspective and context; material and comments from subsequent interviews with the panelists and speakers are integrated for a complete thematic presentation. Each book is focused on a well delineated topic, but all deliver broader insights into the quality and efficiency of the U.S. equity markets and the dynamic forces changing them.
For years, traders and investors have been using unproven assumptions about popular patterns such as breakouts, momentum, new highs, new lows, market breadth, put/call ratios and more without knowing if there is a statistical edge. Common wisdom holds that the stock markets are ever changing. But, as it turns out, common wisdom can be wrong. Offering a comprehensive look back at the way the markets have acted over the last two decades, How Markets Really Work: A Quantitative Guide to Stock Market Behavior, Second Edition shows that nothing has changed, that the markets behave the same way today as they have in years past, and that understanding this puts you in a prime position to profit. Written by two top financial experts and filled with charts and graphs that illustrate the market concepts they develop, the book takes a sometimes contrarian view of everything from market edges to historical volatility, and from volume to put/call ratio, giving you all that you need to truly understand how the markets function. Fully revised and updated, How Markets Really Work, Second Edition takes a level-headed, data-driven look at the markets to show how they function and how you can apply that information intelligently when making investment decisions.
Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey Leading thinkers present newest research on volatility forecasting International authors cover a broad array of subjects related to volatility forecasting Assumes basic knowledge of volatility, financial mathematics, and modelling
Analyzing volume can help you look deep inside trends, identify shifts more rapidly, and earn higher profits with less risk. Now, award-winning stock analyst Buff Pelz Dormeier shows exactly how to make volume analysis work for you. Analyze volume responsiveness, reliability, risk, and returns & mdash;and use your insights to optimize every trade!
This book explains and demonstrates the concept of momentum in chart analysis, which is of great interest to technical analysts. It includes complete explanations of overbought and oversold, where momentum fits in the broader science of technical analysis, and the importance of moving average crossover. Five major momentum oscillators are explained in depth: relative strength index, MACD, rate of change, stochastics, and Bollinger Bands. Finally, the book provides trading guidance based on momentum, involving coordination of oscillators with other indicators, reversal, and continuation signals. Momentum powerfully identifies the strength and speed of price movement. Through the use of index calculations, momentum is effective when used as a confirming indicator for other signals found in price, volume, or moving averages. Often overlooked by traders focused solely on price reversals or continuation signals, momentum provides a context to price behavior and to the price trend, and can vastly improves the timing of both entry and exit of trades.
The NASDAQ has reached a record 60 new highs in 1999, closing above the 4000 milestone. This record was the icing on the cake to a year of volatile victories for the NASDAQ, which experienced the largest one-year gain ever for a major market index. Momentum has never been more important. For example, the first day of tradingin 2000 saw the NASDAQ dropping close to 100 points before finishing the day with a significant gain, yet on the second day of trading, the NASDAQ experienced its worst point drop in history.
This compelling book examines the price-based revolution in investing, showing how research over recent decades has reinvented technical analysis. The authors discuss the major groups of price-based strategies, considering their theoretical motivation, individual and combined implementation, and back-tested results when applied to investment across country stock markets. Containing a comprehensive sample of performance data, taken from 24 major developed markets around the world and ranging over the last 25 years, the authors construct practical portfolios and display their performance—ensuring the book is not only academically rigorous, but practically applicable too. This is a highly useful volume that will be of relevance to researchers and students working in the field of price-based investing, as well as individual investors, fund pickers, market analysts, fund managers, pension fund consultants, hedge fund portfolio managers, endowment chief investment officers, futures traders, and family office investors.
Volatility in financial markets has forced economists to reexamine the validity of the efficient markets hypothesis, and new empirical approaches have been applied to the study of this important issue in recent years. Many of the recent studies have found evidence of excessive volatility. In the aftermath of the stock market crash of 1987 and the perceived increase in market volatility, some economists have advocated additional market regulations. Are these proposed regulations necessary and would they serve to reduce market volatility? This paper presents a review of recent studies on financial market volatility and examines the proposed regulations.
In this remarkable stock market study, one of Wall Street’s best known market analysts reveals a new technical tool he developed for gauging the pulse of the trading cycle. Called the On Balance Volume Theory, this tool tends to fill in some of the conspicuous voids in the famous Dow Theory—especially the lack of discussion and use of stock volume figures. As straightforward as a set of bridge rules, on-balance volume (OBV) denotes each buy and sell signal so that a trader can follow them without his own emotions tending to lead him astray—emotions causing most of the market misjudgements that take place. The Granville OBV method is essentially scientific, has a high degree of accuracy and has many automatic features. The reader of this book will be introduced to a method whereby he may benefit by the earlier movements of volume over price—the “early warning” radar of volume buy and sell signals.
