Money Flow Index
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Spread, Volatility, and Volume Relationship in Financial Markets
Spread, volatility, and volume relationship in financial markets and market maker’s profit optimization Jack Sarkissian Managing Member, Algostox Trading LLC email: [email protected] Abstract We study the relationship between price spread, volatility and trading volume. We find that spread forms as a result of interplay between order liquidity and order impact. When trading volume is small adding more liquidity helps improve price accuracy and reduce spread, but after some point additional liquidity begins to deteriorate price. The model allows to connect the bid-ask spread and high-low bars to measurable microstructural parameters and express their dependence on trading volume, volatility and time horizon. Using the established relations, we address the operating spread optimization problem to maximize the market-maker’s profit. 1. Introduction When discussing security prices it is customary to describe them with single numbers. For example, someone might say price of Citigroup Inc. (ticker “C”) on April 18, 2016 was $45.11. While good enough for many uses, it is not entirely accurate. Single numbers can describe price only as referring to a particular transaction, in which 푁 units of security are transferred from one party to another at a price $푋 each. Price could be different a moment before or after the transaction, or if the transaction had different size, or if it were executed on a different exchange. To be entirely accurate, one should specify these numerous details when talking about security price. We will take this observation a step further. Technically speaking, other than at the time of transaction we cannot say that price exists as a single number at all. -
2021 Mid-Year Outlook July 2021 Economic Recovery, Updated Vaccine, and Portfolio Considerations
2021 Mid-Year Outlook July 2021 Economic recovery, updated vaccine, and portfolio considerations. Key Observations • Financial market returns year-to-date coincide closely with the premise of an expanding global economic recovery. Economic momentum and a robust earnings backdrop have fostered uniformly positive global equity returns while this same strength has been the impetus for elevated interest rates, hampering fixed income returns. • Our baseline expectation anticipates that the continuation of the economic revival is well underway but its relative strength may be shifting overseas, particularly to the Eurozone, where amplifying vaccination efforts and the prospects for additional stimulus reign. • Our case for thoughtful risk-taking remains intact. While the historically sharp and compressed pace of the recovery has spawned exceptionally strong returns across many segments of the capital markets and elevated valuations, the economic expansion should continue apace, fueled by still highly accommodative stimulus, reopening impetus and broader vaccination. Financial Market Conditions Economic Growth Forecasts for global economic growth in 2021 and 2022 remain robust with the World Bank projecting a 5.6 percent growth rate for 2021 and a 4.3 percent rate in 2022. If achieved, this recovery pace would be the most rapid recovery from crisis in some 80 years and provides a full reckoning of the extraordinary levels of stimulus applied to the recovery and of the herculean efforts to develop and distribute vaccines. GDP Growth Rates Source: FactSet Advisory services offered through Veracity Capital, LLC, a registered investment advisor. 1 While the case for further global economic growth remains compelling, we are mindful that near-term base effect comparisons and a bifurcated pattern of growth may be masking some complexities of the recovery. -
Relative Strength Index for Developing Effective Trading Strategies in Constructing Optimal Portfolio
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 19 (2017) pp. 8926-8936 © Research India Publications. http://www.ripublication.com Relative Strength Index for Developing Effective Trading Strategies in Constructing Optimal Portfolio Dr. Bhargavi. R Associate Professor, School of Computer Science and Software Engineering, VIT University, Chennai, Vandaloor Kelambakkam Road, Chennai, Tamilnadu, India. Orcid Id: 0000-0001-8319-6851 Dr. Srinivas Gumparthi Professor, SSN School of Management, Old Mahabalipuram Road, Kalavakkam, Chennai, Tamilnadu, India. Orcid Id: 0000-0003-0428-2765 Anith.R Student, SSN School of Management, Old Mahabalipuram Road, Kalavakkam, Chennai, Tamilnadu, India. Abstract Keywords: RSI, Trading, Strategies innovation policy, innovative capacity, innovation strategy, competitive Today’s investors’ dilemma is choosing the right stock for advantage, road transport enterprise, benchmarking. investment at right time. There are many technical analysis tools which help choose investors pick the right stock, of which RSI is one of the tools in understand whether stocks are INTRODUCTION overpriced or under priced. Despite its popularity and powerfulness, RSI has been very rarely used by Indian Relative Strength Index investors. One of the important reasons for it is lack of Investment in stock market is common scenario for making knowledge regarding how to use it. So, it is essential to show, capital gains. One of the major concerns of today’s investors how RSI can be used effectively to select shares and hence is regarding choosing the right securities for investment, construct portfolio. Also, it is essential to check the because selection of inappropriate securities may lead to effectiveness and validity of RSI in the context of Indian stock losses being suffered by the investor. -
Forecasting Direction of Exchange Rate Fluctuations with Two Dimensional Patterns and Currency Strength
FORECASTING DIRECTION OF EXCHANGE RATE FLUCTUATIONS WITH TWO DIMENSIONAL PATTERNS AND CURRENCY STRENGTH A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF MIDDLE EAST TECHNICAL UNIVERSITY BY MUSTAFA ONUR ÖZORHAN IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PILOSOPHY IN COMPUTER ENGINEERING MAY 2017 Approval of the thesis: FORECASTING DIRECTION OF EXCHANGE RATE FLUCTUATIONS WITH TWO DIMENSIONAL PATTERNS AND CURRENCY STRENGTH submitted by MUSTAFA ONUR ÖZORHAN in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Engineering Department, Middle East Technical University by, Prof. Dr. Gülbin Dural Ünver _______________ Dean, Graduate School of Natural and Applied Sciences Prof. Dr. Adnan Yazıcı _______________ Head of Department, Computer Engineering Prof. Dr. İsmail Hakkı Toroslu _______________ Supervisor, Computer Engineering Department, METU Examining Committee Members: Prof. Dr. Tolga Can _______________ Computer Engineering Department, METU Prof. Dr. İsmail Hakkı Toroslu _______________ Computer Engineering Department, METU Assoc. Prof. Dr. Cem İyigün _______________ Industrial Engineering Department, METU Assoc. Prof. Dr. Tansel Özyer _______________ Computer Engineering Department, TOBB University of Economics and Technology Assist. Prof. Dr. Murat Özbayoğlu _______________ Computer Engineering Department, TOBB University of Economics and Technology Date: ___24.05.2017___ I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work. Name, Last name: MUSTAFA ONUR ÖZORHAN Signature: iv ABSTRACT FORECASTING DIRECTION OF EXCHANGE RATE FLUCTUATIONS WITH TWO DIMENSIONAL PATTERNS AND CURRENCY STRENGTH Özorhan, Mustafa Onur Ph.D., Department of Computer Engineering Supervisor: Prof. -
There's More to Volatility Than Volume
There's more to volatility than volume L¶aszl¶o Gillemot,1, 2 J. Doyne Farmer,1 and Fabrizio Lillo1, 3 1Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501 2Budapest University of Technology and Economics, H-1111 Budapest, Budafoki ut¶ 8, Hungary 3INFM-CNR Unita di Palermo and Dipartimento di Fisica e Tecnologie Relative, Universita di Palermo, Viale delle Scienze, I-90128 Palermo, Italy. It is widely believed that uctuations in transaction volume, as reected in the number of transactions and to a lesser extent their size, are the main cause of clus- tered volatility. Under this view bursts of rapid or slow price di®usion reect bursts of frequent or less frequent trading, which cause both clustered volatility and heavy tails in price returns. We investigate this hypothesis using tick by tick data from the New York and London Stock Exchanges and show that only a small fraction of volatility uctuations are explained in this manner. Clustered volatility is still very strong even if price changes are recorded on intervals in which the total transaction volume or number of transactions is held constant. In addition the distribution of price returns conditioned on volume or transaction frequency being held constant is similar to that in real time, making it clear that neither of these are the principal cause of heavy tails in price returns. We analyze recent results of Ane and Geman (2000) and Gabaix et al. (2003), and discuss the reasons why their conclusions di®er from ours. Based on a cross-sectional analysis we show that the long-memory of volatility is dominated by factors other than transaction frequency or total trading volume. -
The Strength of the Euro
DIRECTORATE GENERAL FOR INTERNAL POLICIES POLICY DEPARTMENT A: ECONOMIC AND SCIENTIFIC POLICY The strength of the Euro Monetary Dialogue 14 July 2014 COMPILATION OF NOTES Abstract The notes in this compilation discuss the challenges for ECB monetary policy stemming from the recent appreciation of the Euro in the context of a nascent euro area recovery. The notes have been requested by the Committee on Economic and Monetary Affairs (ECON) as an input for the July 2014 session of the Monetary Dialogue between the Members of ECON and the President of the ECB. IP/A/ECON/NT/2014-02 July 2014 PE 518.782 EN This document was requested by the European Parliament's Committee on Economic and Monetary Affairs. AUTHORS Daniel GROS, Cinzia ALCIDI, Alessandro GIOVANNINI (Centre for European Policy Studies) Stefan COLLIGNON, Sebastian DIESSNER (Scuola Superiore Sant'Anna, London School of Economics) Ansgar BELKE (University of Duisburg-Essen) Sylvester C.W. EIJFFINGER, Louis RAES (Tilburg University) Guillermo DE LA DEHESA (Centre for Economic Policy Research) RESPONSIBLE ADMINISTRATOR Dario PATERNOSTER EDITORIAL ASSISTANT Iveta OZOLINA LINGUISTIC VERSIONS Original: EN ABOUT THE EDITOR Policy departments provide in-house and external expertise to support EP committees and other parliamentary bodies in shaping legislation and exercising democratic scrutiny over EU internal policies. To contact the Policy Department or to subscribe to its newsletter please write to: Policy Department A: Economic and Scientific Policy European Parliament B-1047 Brussels E-mail: [email protected] Manuscript completed in July 2014 © European Union, 2014 This document is available on the internet at: http://www.europarl.europa.eu/committees/en/econ/monetary-dialogue.html DISCLAIMER The opinions expressed in this document are the sole responsibility of the authors and do not necessarily represent the official position of the European Parliament. -
W E B R E V Ie W
TRADERS´ TOOLS 37 Professional Screening, Advanced Charting, and Precise Sector Analysis www.chartmill.com The website www.chartmill.com is a technical analysis (TA) website created by traders for traders. Its main features are charting applications, a stock screener and a sector analysis tool. Chartmill supports most of the classical technical analysis indicators along with some state-of-the-art indicators and concepts like Pocket Pivots, Effective Volume, Relative Strength and Anchored Volume Weighted Average Prices (VWAPs, MIDAS curves). First, we will discuss some of these concepts. After that, we will have a look at the screener and charting applications. Relative Strength different manner. This form of Strong Stocks flatten out again. “Strong stocks” Relative Strength is available in Relative Strength was used in The screener supports the filters the nicest steady trends WEBREVIEW different forms at chartmill.com. “Point and Figure Charting” by concept of “strong stocks”, in the market and does a terrific Two Relative Strength related Thomas Dorsey. which are stocks with a high job in mimicking IBD (Investor‘s indicators are available in the Relative Strength. But there is Business Daily) stock lists. charts and screener: Besides these two indicators, more. Not all stocks with a high there is also the Relative Strength Relative Strength ranking are also Effective Volume • Mansfield Relative Strength: Ranking Number. Here, each strong stocks. Relative Strength Effective Volume is an indicator This compares the stock gets assigned a number looks at the performance over that was introduced in the book performance of the stock to between zero and 100, indicating the past year. -
Point and Figure Relative Strength Signals
February 2016 Point and Figure Relative Strength Signals JOHN LEWIS / CMT, Dorsey, Wright & Associates Relative Strength, also known as momentum, has been proven to be one of the premier investment factors in use today. Numerous studies by both academics and investment ABOUT US professionals have demonstrated that winning securities continue to outperform. This phenomenon has been found Dorsey, Wright & Associates, a Nasdaq Company, is a in equity markets all over the globe as well as commodity registered investment advisory firm based in Richmond, markets and in asset allocation strategies. Momentum works Virginia. Since 1987, Dorsey Wright has been a leading well within and across markets. advisor to financial professionals on Wall Street and investment managers worldwide. Relative Strength strategies focus on purchasing securities that have already demonstrated the ability to outperform Dorsey Wright offers comprehensive investment research a broad market benchmark or the other securities in the and analysis through their Global Technical Research Platform investment universe. As a result, a momentum strategy and provides research, modeling and indexes that apply requires investors to purchase securities that have already Dorsey Wright’s expertise in Relative Strength to various appreciated quite a bit in price. financial products including exchange-traded funds, mutual funds, UITs, structured products, and separately managed There are many different ways to calculate and quantify accounts. Dorsey Wright’s expertise is technical analysis. The momentum. This is similar to a value strategy. There are Company uses Point and Figure Charting, Relative Strength many different metrics that can be used to determine a Analysis, and numerous other tools to analyze market data security’s value. -
Price Momentum Model Creat- Points at Institutionally Relevant John Brush Ed by Columbine Capital Services, Holding Periods
C OLUMBINE N EWSLETTER A PORTFOLIO M ANAGER’ S R ESOURCE SPECIAL EDITION—AUGUST 2001 From etary price momentum model creat- points at institutionally relevant John Brush ed by Columbine Capital Services, holding periods. Columbine Alpha's Inc. The Columbine Alpha price dominance comes from its exploita- Price Momentum momentum model has been in wide tion of some of the many complex- a Twenty Year use by institutions for more than ities of price momentum. Recent Research Effort twenty years, both as an overlay non-linear improvements to with fundamental measures, and as Columbine Alpha incorporating Summary and Overview a standalone idea-generating screen. adjustments for extreme absolute The evidence presented here sug- price changes and considerations of Even the most casual market watch - gests that price momentum is not a trading volume appear likely to add ers have observed anecdotal evi- generic ingredient. another 100 basis points to the dence of trend following in stock model's 1st decile active return. prices. Borrowing from the world of The Columbine Alpha approach physics, early analysts characterized is almost twice as powerful as the You will see in this paper that this behavior as stock price momen- best simple alternative and war- constructing a price momentum tum. Over the years, researchers and rants attention by any investment model involves compromises or practitioners have developed manager who cares about active tradeoffs driven by the fact that increasingly more sophisticated return. different past measurement peri- mathematical descriptions (models) ods produce different future of equity price momentum effects. Even simple price momentum return patterns. -
Lecture 20: Technical Analysis Steven Skiena
Lecture 20: Technical Analysis Steven Skiena Department of Computer Science State University of New York Stony Brook, NY 11794–4400 http://www.cs.sunysb.edu/∼skiena The Efficient Market Hypothesis The Efficient Market Hypothesis states that the price of a financial asset reflects all available public information available, and responds only to unexpected news. If so, prices are optimal estimates of investment value at all times. If so, it is impossible for investors to predict whether the price will move up or down. There are a variety of slightly different formulations of the Efficient Market Hypothesis (EMH). For example, suppose that prices are predictable but the function is too hard to compute efficiently. Implications of the Efficient Market Hypothesis EMH implies it is pointless to try to identify the best stock, but instead focus our efforts in constructing the highest return portfolio for our desired level of risk. EMH implies that technical analysis is meaningless, because past price movements are all public information. EMH’s distinction between public and non-public informa- tion explains why insider trading should be both profitable and illegal. Like any simple model of a complex phenomena, the EMH does not completely explain the behavior of stock prices. However, that it remains debated (although not completely believed) means it is worth our respect. Technical Analysis The term “technical analysis” covers a class of investment strategies analyzing patterns of past behavior for future predictions. Technical analysis of stock prices is based on the following assumptions (Edwards and Magee): • Market value is determined purely by supply and demand • Stock prices tend to move in trends that persist for long periods of time. -
The Option to Stock Volume Ratio and Future Returns$
Journal of Financial Economics 106 (2012) 262–286 Contents lists available at SciVerse ScienceDirect Journal of Financial Economics journal homepage: www.elsevier.com/locate/jfec The option to stock volume ratio and future returns$ Travis L. Johnson n, Eric C. So Stanford University, Graduate School of Business, 655 Knight Way Stanford, CA 94305, United States article info abstract Article history: We examine the information content of option and equity volumes when trade Received 15 November 2010 direction is unobserved. In a multimarket asymmetric information model, equity Received in revised form short-sale costs result in a negative relation between relative option volume and future 11 November 2011 firm value. In our empirical tests, firms in the lowest decile of the option to stock Accepted 28 November 2011 volume ratio (O/S) outperform the highest decile by 0.34% per week (19.3% annualized). Available online 17 May 2012 Our model and empirics both indicate that O/S is a stronger signal when short-sale costs JEL classification: are high or option leverage is low. O/S also predicts future firm-specific earnings news, G11 consistent with O/S reflecting private information. G12 & 2012 Elsevier B.V. All rights reserved. G13 G14 Keywords: Short-sale costs Options Trading volume Return predictability 1. Introduction creates additional incentives to generate private informa- tion. In this way, trades in derivative markets may provide In recent decades, the availability of derivative secu- more refined and precise signals of the underlying asset’s rities has rapidly expanded. This expansion is not limited value than trades of the asset itself. -
Investing with Volume Analysis
Praise for Investing with Volume Analysis “Investing with Volume Analysis is a compelling read on the critical role that changing volume patterns play on predicting stock price movement. As buyers and sellers vie for dominance over price, volume analysis is a divining rod of profitable insight, helping to focus the serious investor on where profit can be realized and risk avoided.” —Walter A. Row, III, CFA, Vice President, Portfolio Manager, Eaton Vance Management “In Investing with Volume Analysis, Buff builds a strong case for giving more attention to volume. This book gives a broad overview of volume diagnostic measures and includes several references to academic studies underpinning the importance of volume analysis. Maybe most importantly, it gives insight into the Volume Price Confirmation Indicator (VPCI), an indicator Buff developed to more accurately gauge investor participation when moving averages reveal price trends. The reader will find out how to calculate the VPCI and how to use it to evaluate the health of existing trends.” —Dr. John Zietlow, D.B.A., CTP, Professor of Finance, Malone University (Canton, OH) “In Investing with Volume Analysis, the reader … should be prepared to discover a trove of new ground-breaking innovations and ideas for revolutionizing volume analysis. Whether it is his new Capital Weighted Volume, Trend Trust Indicator, or Anti-Volume Stop Loss method, Buff offers the reader new ideas and tools unavailable anywhere else.” —From the Foreword by Jerry E. Blythe, Market Analyst, President of Winthrop Associates, and Founder of Blythe Investment Counsel “Over the years, with all the advancements in computing power and analysis tools, one of the most important tools of analysis, volume, has been sadly neglected.