FIN 432 – Investment Analysis and Management Review Notes for Midterm Exam
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Effects of the Limit Order Book on Price Dynamics
Effects of the Limit Order Book on Price Dynamics Tolga Cenesizoglu Georges Dionne Xiaozhou Zhou November 2014 CIRRELT-2014-60 Effects of the Limit Order Book on Price Dynamics Tolga Cenesizoglu1, Georges Dionne1,2,*, Xiaozhou Zhou1,2 1 Department of Finance, HEC Montréal, 3000 Côte-Sainte-Catherine, Montréal, Canada H3T 2A7 2 Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) Abstract. In this paper, we analyze whether the state of the limit order book affects future price movements in line with what recent theoretical models predict. We do this in a linear vector autoregressive system which includes midquote return, trade direction and variables that are theoretically motivated and capture different dimensions of the information embedded in the limit order book. We find that different measures of depth and slope of bid and ask sides as well as their ratios cause returns to change in the next transaction period in line with the predictions of Goettler, Parlour, and Rajan (2009) and Kalay and Wohl (2009). Limit order book variables also have significant long term cumulative effects on midquote return, which is stronger and takes longer to be fully realized for variables based on higher levels of the book. In a simple high frequency trading exercise, we show that it is possible in some cases to obtain economic gains from the statistical relation between limit order book variables and midquote return. Keywords. High frequency limit order book, high frequency trading, high frequency transaction price, asset price, midquote return, high frequency return. Results and views expressed in this publication are the sole responsibility of the authors and do not necessarily reflect those of CIRRELT. -
Portfolio Management Under Transaction Costs
Portfolio management under transaction costs: Model development and Swedish evidence Umeå School of Business Umeå University SE-901 87 Umeå Sweden Studies in Business Administration, Series B, No. 56. ISSN 0346-8291 ISBN 91-7305-986-2 Print & Media, Umeå University © 2005 Rickard Olsson All rights reserved. Except for the quotation of short passages for the purposes of criticism and review, no part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior consent of the author. Portfolio management under transaction costs: Model development and Swedish evidence Rickard Olsson Master of Science Umeå Studies in Business Administration No. 56 Umeå School of Business Umeå University Abstract Portfolio performance evaluations indicate that managed stock portfolios on average underperform relevant benchmarks. Transaction costs arise inevitably when stocks are bought and sold, but the majority of the research on portfolio management does not consider such costs, let alone transaction costs including price impact costs. The conjecture of the thesis is that transaction cost control improves portfolio performance. The research questions addressed are: Do transaction costs matter in portfolio management? and Could transaction cost control improve portfolio performance? The questions are studied within the context of mean-variance (MV) and index fund management. The treatment of transaction costs includes price impact costs and is throughout based on the premises that the trading is uninformed, immediate, and conducted in an open electronic limit order book system. These premises characterize a considerable amount of all trading in stocks. -
The Cost of Equity Capital for Reits: an Examination of Three Asset-Pricing Models
MIT Center for Real Estate September, 2000 The Cost of Equity Capital for REITs: An Examination of Three Asset-Pricing Models David N. Connors Matthew L. Jackman Thesis, 2000 © Massachusetts Institute of Technology, 2000. This paper, in whole or in part, may not be cited, reproduced, or used in any other way without the written permission of the authors. Comments are welcome and should be directed to the attention of the authors. MIT Center for Real Estate, 77 Massachusetts Avenue, Building W31-310, Cambridge, MA, 02139-4307 (617-253-4373). THE COST OF EQUITY CAPITAL FOR REITS: AN EXAMINATION OF THREE ASSET-PRICING MODELS by David Neil Connors B.S. Finance, 1991 Bentley College and Matthew Laurence Jackman B.S.B.A. Finance, 1996 University of North Carolinaat Charlotte Submitted to the Department of Urban Studies and Planning in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN REAL ESTATE DEVELOPMENT at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2000 © 2000 David N. Connors & Matthew L. Jackman. All Rights Reserved. The authors hereby grant to MIT permission to reproduce and to distribute publicly paper and electronic (\aopies of this thesis in whole or in part. Signature of Author: - T L- . v Department of Urban Studies and Planning August 1, 2000 Signature of Author: IN Department of Urban Studies and Planning August 1, 2000 Certified by: Blake Eagle Chairman, MIT Center for Real Estate Thesis Supervisor Certified by: / Jonathan Lewellen Professor of Finance, Sloan School of Management Thesis Supervisor -
The Continuing Evolution of NAV Facilities
The continuing evolution of NAV facilities Meyer C. Dworkin & Samantha Hait Davis Polk & Wardwell LLP Background In recent years, credit facilities provided to private equity funds have been dominated by two forms: “Subscription Facilities” and “NAV Facilities”. Subscription Facilities – sometimes referred to as “capital call” credit facilities – have become increasingly common for newer funds with significant unfunded capital commitments, with the loans thereunder secured by the fund’s right to call such capital commitments from its investors. Availability under Subscription Facilities is subject to a “borrowing base”, calculated as an agreed advance percentage of unfunded commitments of certain “included” investors in the fund (with the inclusion and “advance rates” dependent on the creditworthiness of each such investor). Subscription Facilities are generally intended to serve a fund borrower’s short- term capital needs by bridging the time between the issuance of capital calls to investors and the time such capital is actually contributed. For many funds, however, Subscription Facilities are not a viable option, either because the fund’s organisational documents do not permit such facilities or, in the case of a mature fund, the fund has already called a significant portion of its commitments, leaving it with minimal unfunded commitments against which to borrow. These private equity funds have sought instead to raise capital through “asset backed” or net asset value facilities: “NAV Facilities”. NAV Facilities are credit facilities backed by the fund’s investment portfolio. For a “fund- of-funds”, these assets will typically be the limited partnership and other equity interests in hedge funds and private equity funds, consisting of both primary investments as well as those purchased in the secondary market. -
The Order Book As a Queueing System: Average Depth and Influence of the Size of Limit Orders Ioane Muni Toke
The order book as a queueing system: average depth and influence of the size of limit orders Ioane Muni Toke To cite this version: Ioane Muni Toke. The order book as a queueing system: average depth and influence of the size of limit orders. Quantitative Finance, Taylor & Francis (Routledge), 2015, 15 (5), pp.795-808. 10.1080/14697688.2014.963654. hal-01006410 HAL Id: hal-01006410 https://hal.archives-ouvertes.fr/hal-01006410 Submitted on 16 Jun 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The order book as a queueing system: average depth and influence of the size of limit orders Ioane Muni Toke ERIM, University of New Caledonia BP R4 98851 Noumea CEDEX, New Caledonia [email protected] Applied Maths Laboratory, Chair of Quantitative Finance Ecole Centrale Paris Grande Voie des Vignes, 92290 Chˆatenay-Malabry, France [email protected] Abstract In this paper, we study the analytical properties of a one-side order book model in which the flows of limit and market orders are Poisson processes and the distribution of lifetimes of cancelled orders is exponen- tial. -
Informed Traders and Limit Order Markets$
ARTICLE IN PRESS Journal of Financial Economics 93 (2009) 67–87 Contents lists available at ScienceDirect Journal of Financial Economics journal homepage: www.elsevier.com/locate/jfec Informed traders and limit order markets$ Ronald L. Goettler a,Ã, Christine A. Parlour b, Uday Rajan c a Booth School of Business, University of Chicago, USA b Haas School of Business, University of California, Berkeley, USA c Ross School of Business, University of Michigan, Ann Arbor, USA article info abstract Article history: We consider a dynamic limit order market in which traders optimally choose whether to Received 1 January 2008 acquire information about the asset and the type of order to submit. We numerically Received in revised form solve for the equilibrium and demonstrate that the market is a ‘‘volatility multiplier’’: 17 June 2008 prices are more volatile than the fundamental value of the asset. This effect increases Accepted 6 August 2008 when the fundamental value has high volatility and with asymmetric information Available online 5 April 2009 across traders. Changes in the microstructure noise are negatively correlated with JEL classification: changes in the estimated fundamental value, implying that asset betas estimated from G14 high-frequency data will be incorrect. C63 & 2009 Published by Elsevier B.V. C73 D82 Keywords: Limit order market Informed traders Endogenous information acquisition Computational game 1. Introduction Understanding dynamic order choice under asym- metric information is important because rational agents Many financial markets around the world, including use different trading strategies for different assets. The the Paris, Stockholm, Shanghai, Tokyo, and Toronto stock characteristics of an asset (such as the volatility of exchanges, are organized as limit order books. -
Single Stock Dividend Futures
EURONEXT DERIVATIVES SINGLE STOCK DIVIDEND FUTURES What are Single Stock Why trade Single Stock Who are Single Stock Dividend Futures? Dividend futures? Dividend Futures for? Single Stock Dividend Futures are Access new trading opportunities Investors who want to hedge risk exchange-traded derivatives contracts by taking long or short positions associated with dividend exposure, that allow investors to take positions on Single Stock Dividend Futures, diversify their trading portfolio and on dividend payments. or trade them against the dividend reduce its volatility exposure. index futures (CAC 40® or AEX Index®). Market Makers Euronext’s new Single Stock Dividend Futures complement its existing dividend index future offering (CAC 40 Dividend BNP Paribas Index Future and AEX Dividend Index Future), giving market Yanis Escudero participants additional investment strategies. [email protected] +44 (0) 207 595 1691 Dividends are a key component for equity and equity derivatives holders and are mostly used as a hedging tool. However, dividends are also becoming an asset Gabriel Messika class of their own: a dividend investment can be seen as corresponding to an [email protected] equity investment, while often proving more resilient and less volatile than stocks. +44 (0) 207 595 1819 Why trade Single Stock Dividend Futures? Nicolas Certner Benefit from an efficient hedging tool helping you to manage your [email protected] dividend exposure +44 (0) 207 595 595 1342 Diversify your portfolio by investing -
Dark Pools and High Frequency Trading for Dummies
Dark Pools & High Frequency Trading by Jay Vaananen Dark Pools & High Frequency Trading For Dummies® Published by: John Wiley & Sons, Ltd., The Atrium, Southern Gate, Chichester, www.wiley.com This edition first published 2015 © 2015 John Wiley & Sons, Ltd, Chichester, West Sussex. Registered office John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or trans- mitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by the UK Copyright, Designs and Patents Act 1988, without the prior permission of the publisher. Wiley publishes in a variety of print and electronic formats and by print-on-demand. Some material included with standard print versions of this book may not be included in e-books or in print-on-demand. If this book refers to media such as a CD or DVD that is not included in the version you purchased, you may download this material at http://booksupport.wiley.com. For more information about Wiley products, visit www.wiley.com. Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book are trade names, service marks, trademarks or registered trademarks of their respective owners. The publisher is not associated with any product or vendor men- tioned in this book. -
Net Asset Value Purchase Application Attach To: Account Application Or IRA Application
Net Asset Value Purchase Application Attach to: Account Application or IRA Application Net Asset Value Purchase is Available Because Account Owner is: All future purchases will be at NAV: Account should be coded NAV Account (a) Purchases by qualified retirement and benefit plans. (b) Non-dealer assisted (or assisted only by the Distributor) purchases by bank or trust company in a single account where such bank or trust company is named as the trustee. (c) Non-dealer assisted (or assisted only by the Distributor) purchase by banks, insurance companies, insurance company separate accounts and other institutional purchasers. (d) A registered investment adviser purchasing shares on behalf of a client or on his or her own behalf through an intermediary service institution offering a separate and established program for registered investment advisers and notifying the Funds and Distributor of such arrangement. (e) Fee-based account clients of registered investment advisers. (f) Sales through a broker-dealer to its customer under an arrangement in which the customer pays the broker-dealer a fee based on the value of the account, in lieu of transaction based brokerage. (g) Sales to broker-dealers who conduct their business with their customers principally through the Internet and do not have registered representatives who actively solicit those customers to purchase securities, including shares of the Funds. (h) Any current or retired Officer, Director or employee of the Funds, Adviser, Distributor or any affiliated company thereof. This shall also apply to their immediate family members. (i) Registered representatives, their spouses and minor children, and employees of dealer firms that have a distribution agreement with the Distributor. -
Mutual Funds: Understanding NAV, Yield, and Total Return
Mutual Funds: Understanding NAV, Yield, and Total Return Mutual fund investors will commonly encounter three key metrics: the NAV, the yield, and the total return. Comprehending the differences and inter-relationships of these metrics is critical to understanding how well (or poorly) you have done with your mutual fund selection. Calculating the NAV A mutual fund's net asset value (NAV) represents its per-share price and is calculated by dividing a fund's total net assets by its number of shares outstanding. Because shares in regular open-end mutual funds are bought and sold at NAV, NAVs may seem similar to stock prices; after all, both represent the price of one share of an investment. Both appear in newspapers and on financial websites. But that's where the similarities between NAVs and stock prices end. A mutual fund calculates its NAV by adding up the current value of all the stocks, bonds, and other securities (including cash) in its portfolio, subtracting the manager's salary and other operating expenses, and then dividing that figure by the fund's total number of shares. For example, a fund with 500,000 shares that owns $9 million in stocks and $1 million in cash has an NAV of $20. So Alike but So Very Different NAVs and stock prices differ in five important ways. 1. Stock prices change throughout the trading day, but mutual fund NAVs are calculated only once each day, based on the value of their stocks or bonds at the time the market closes. When you purchase a mutual fund, you buy shares at the NAV as of that day's close. -
Efficiently Inefficient Markets for Assets and Asset Management
NBER WORKING PAPER SERIES EFFICIENTLY INEFFICIENT MARKETS FOR ASSETS AND ASSET MANAGEMENT Nicolae B. Gârleanu Lasse H. Pedersen Working Paper 21563 http://www.nber.org/papers/w21563 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 September 2015 We are grateful for helpful comments from Jules van Binsbergen, Ronen Israel, Stephen Mellas, Jim Riccobono, Andrei Shleifer, and Morten Sorensen, as well as from seminar participants at Harvard University, New York University, UC Berkeley-Haas, CEMFI, IESE, Toulouse School of Economics, MIT Sloan, Copenhagen Business School, and the conferences at Queen Mary University of London, the Cowles Foundation at Yale University, the European Financial Management Association Conference, the 7th Erasmus Liquidity Conference, the IF2015 Annual Conference in International Finance, the FRIC'15 Conference, and the Karl Borch Lecture. Pedersen gratefully acknowledges support from the European Research Council (ERC grant no. 312417) and the FRIC Center for Financial Frictions (grant no. DNRF102) The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. At least one co-author has disclosed a financial relationship of potential relevance for this research. Further information is available online at http://www.nber.org/papers/w21563.ack NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2015 by Nicolae B. Gârleanu and Lasse H. Pedersen. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. -
Nav-Error-Cbon-Cnxt-Pek-6-22-18.Pdf
VANECK ANNOUNCES REVISED NET ASSET VALUE INFORMATION FOR VANECK VECTORS CHINAAMC CHINA BOND ETF, VANECK VECTORS CHINAAMC CSI 300 ETF, AND VANECK VECTORS CHINAAMC SME-CHINEXT ETF NEW YORK (June 22, 2018) — VanEck announces the net asset value (NAV) per share of the below exchange traded funds (ETFs) was restated as shown below: Revised NAV Original NAV Change ETF Name Ticker (6/21/2018 ) (6/21/2018) (%) VanEck Vectors ChinaAMC China Bond ETF CBON 23.3826 23.7429 -1.52% VanEck Vectors ChinaAMC CSI 300 ETF PEK 42.6568 43.3496 -1.60% VanEck Vectors ChinaAMC SME-ChiNextETF CNXT 29.0834 29.5436 -1.56% These values differ from previously disclosed NAVs. The NAV adjustments are a result of an error in calculating the NAV for these ETFs. About VanEck VanEck has a history of looking beyond the financial markets to identify trends that are likely to create impactful investment opportunities. We were one of the first U.S. asset managers to offer investors access to international markets. This set the tone for the firm’s drive to identify asset classes and trends – including gold investing in 1968, emerging markets in 1993, and exchange traded funds in 2006 – that subsequently shaped the investment management industry. Today, VanEck offers active and passive strategies with compelling exposures supported by well-designed investment processes. As of April 30, 2018, VanEck managed approximately $46 billion in assets, including mutual funds, ETFs, and institutional accounts. The firm’s capabilities range from core investment opportunities to more specialized exposures to enhance portfolio diversification. Our actively managed strategies are fueled by in-depth, bottom-up research and security selection from portfolio managers with direct experience in the sectors and regions in which they invest.