TBA Trading and Liquidity in the Agency MBS Market
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VIP, in Short) Is a Close Cousin of the Systematic Investment Plan (SIP)
Value-averaging Investment Plan with Indian equity funds – An analysis Srikanth Meenakshi and Shankar Bhatt, FundsIndia.com A relatively new method of making periodic investments for regular investors has caught the interest of financial advisors and the investing public. This new method, called Value-averaging investment plan (VIP, in short) is a close cousin of the Systematic Investment Plan (SIP). The main difference between the approaches is that in VIP the monthly amount of money invested varies according to a formula as opposed to SIP wherein the invested amount remains constant. Internationally, the VIP method has been implemented successfully using, primarily, mutual funds. It has out-performed comparable SIPs yielding, according to published results, 1% better IRR. (Reference: http://www.sigmainvesting.com/advanced-investing-topics/value-averaging) We set out to test the premise of VIP out-performance in the context of Indian mutual funds. One mutual fund – Benchmark funds – has already implemented this method with one of their funds (an index fund), with promising results. In this article, we present our results with a broader set of managed equity funds and suggest a couple of ways an investor can implement the protocol themselves for their portfolio. About Value-averaging investment plan First, a few words of explanation about VIP. This method was first identified and designed in 1988 by Michael Edelson, a professor at the Harvard University. The basic premise is that money is invested in periodic intervals in a portfolio in such a manner that the portfolio value keeps tending towards a pre-determined value based on a target rate of return. -
Evidence from SME Bond Markets
Temi di discussione (Working Papers) Asymmetric information in corporate lending: evidence from SME bond markets by Alessandra Iannamorelli, Stefano Nobili, Antonio Scalia and Luana Zaccaria September 2020 September Number 1292 Temi di discussione (Working Papers) Asymmetric information in corporate lending: evidence from SME bond markets by Alessandra Iannamorelli, Stefano Nobili, Antonio Scalia and Luana Zaccaria Number 1292 - September 2020 The papers published in the Temi di discussione series describe preliminary results and are made available to the public to encourage discussion and elicit comments. The views expressed in the articles are those of the authors and do not involve the responsibility of the Bank. Editorial Board: Federico Cingano, Marianna Riggi, Monica Andini, Audinga Baltrunaite, Marco Bottone, Davide Delle Monache, Sara Formai, Francesco Franceschi, Salvatore Lo Bello, Juho Taneli Makinen, Luca Metelli, Mario Pietrunti, Marco Savegnago. Editorial Assistants: Alessandra Giammarco, Roberto Marano. ISSN 1594-7939 (print) ISSN 2281-3950 (online) Printed by the Printing and Publishing Division of the Bank of Italy ASYMMETRIC INFORMATION IN CORPORATE LENDING: EVIDENCE FROM SME BOND MARKETS by Alessandra Iannamorelli†, Stefano Nobili†, Antonio Scalia† and Luana Zaccaria‡ Abstract Using a comprehensive dataset of Italian SMEs, we find that differences between private and public information on creditworthiness affect firms’ decisions to issue debt securities. Surprisingly, our evidence supports positive (rather than adverse) selection. Holding public information constant, firms with better private fundamentals are more likely to access bond markets. Additionally, credit conditions improve for issuers following the bond placement, compared with a matched sample of non-issuers. These results are consistent with a model where banks offer more flexibility than markets during financial distress and firms may use market lending to signal credit quality to outside stakeholders. -
Dollar Cost Averaging - the Role of Cognitive Error…………….Page 44
City Research Online City, University of London Institutional Repository Citation: Hayley, S. (2015). Cognitive error in the measurement of investment returns. (Unpublished Doctoral thesis, City University London) This is the accepted version of the paper. This version of the publication may differ from the final published version. Permanent repository link: https://openaccess.city.ac.uk/id/eprint/13172/ Link to published version: Copyright: City Research Online aims to make research outputs of City, University of London available to a wider audience. Copyright and Moral Rights remain with the author(s) and/or copyright holders. URLs from City Research Online may be freely distributed and linked to. Reuse: Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. City Research Online: http://openaccess.city.ac.uk/ [email protected] COGNITIVE ERROR IN THE MEASUREMENT OF INVESTMENT RETURNS Simon Hayley Thesis submitted for the award of PhD in Finance, Cass Business School, City University London, comprising research conducted in the Faculty of Finance, Cass Business School. April 2015 1 Table of Contents List of Tables and Figures………………………………………………………...page 3 Abstract…………………………………………………………………………….page 6 Summary and Motivation…………………………………………………………page 7 Chapter 1: Literature Review…………………………………………………...page 13 Chapter 2: Dollar Cost Averaging - The Role of Cognitive Error…………….page 44 Chapter 3: Dynamic Strategy Bias of IRR and Modified IRR – The Case of Value Averaging………………………. -
Mortgage-Backed Securities & Collateralized Mortgage Obligations
Mortgage-backed Securities & Collateralized Mortgage Obligations: Prudent CRA INVESTMENT Opportunities by Andrew Kelman,Director, National Business Development M Securities Sales and Trading Group, Freddie Mac Mortgage-backed securities (MBS) have Here is how MBSs work. Lenders because of their stronger guarantees, become a popular vehicle for finan- originate mortgages and provide better liquidity and more favorable cial institutions looking for investment groups of similar mortgage loans to capital treatment. Accordingly, this opportunities in their communities. organizations like Freddie Mac and article will focus on agency MBSs. CRA officers and bank investment of- Fannie Mae, which then securitize The agency MBS issuer or servicer ficers appreciate the return and safety them. Originators use the cash they collects monthly payments from that MBSs provide and they are widely receive to provide additional mort- homeowners and “passes through” the available compared to other qualified gages in their communities. The re- principal and interest to investors. investments. sulting MBSs carry a guarantee of Thus, these pools are known as mort- Mortgage securities play a crucial timely payment of principal and inter- gage pass-throughs or participation role in housing finance in the U.S., est to the investor and are further certificates (PCs). Most MBSs are making financing available to home backed by the mortgaged properties backed by 30-year fixed-rate mort- buyers at lower costs and ensuring that themselves. Ginnie Mae securities are gages, but they can also be backed by funds are available throughout the backed by the full faith and credit of shorter-term fixed-rate mortgages or country. The MBS market is enormous the U.S. -
Tradeweb Reports Volume of $19.8 Trillion in August
NEWS RELEASE Tradeweb Reports Volume of $19.8 Trillion in August August Average Daily Volume was $900.4 billion, an increase of 20.6% YoY NEW YORK – September 3, 2021 – Tradeweb Markets Inc. (Nasdaq: TW), a leading, global operator of electronic marketplaces for rates, credit, equities and money markets, today reported total trading volume for August 2021 of $19.8 trillion (tn). Average daily volume (ADV) for the month was $900.4 billion (bn), an increase of 20.6 percent (%) year over year (YoY). Lee Olesky, Tradeweb CEO, said: “While markets were relatively quiet in August, Tradeweb continued its trend of year- over-year growth in monthly ADV with a diverse portfolio of products. One area of strategic focus for Tradeweb has been credit, and we were pleased to see steady growth in our market share over the course of the summer." In August, Tradeweb continued to facilitate higher credit trading volumes in both U.S. High Grade and U.S. High Yield, driven by record activity in Tradeweb AllTrade, even as broader TRACE volumes in each declined. Tradeweb also captured higher TRACE market share in both U.S. High Grade and U.S. High Yield, including a record 13.9% share of U.S. High Grade for fully electronic trading. U.S. government bond ADV was also a record. RATES • U.S. government bond ADV was up 41.1% YoY to $123.3bn1, and European government bond ADV was up 1.1% YoY to $22.4bn. o Record activity in U.S. government bonds was driven by: continued client use of innovative protocols, including streaming and sessions-based trading; strong month-end activity; and the addition of the Nasdaq Fixed Income business. -
Choosing Between Dollar-Cost and Value Averaging
This article and more available at Investopedia.com Page 1 of 3 Choosing Between Dollar-Cost And Value Averaging by Andrew Beattie (Contact Author | Biography) As investors, we face a bit of a dilemma: we want high stock prices when we sell a stock, but not when we buy. There are times when this dilemma causes investors to wait for a dip in prices, thereby potentially missing out on a continual rise. This is how investors get lured away from investing and become tangled in the slippery science of market timing - a science that few people can hope to master. In this article, we will look at two investing practices that seek to counter our natural inclination toward market timing by canceling out some of the risk involved: dollar cost averaging (DCA) and value averaging (VA). Dollar Cost Averaging DCA is a practice where an investor puts a set amount of money into investments at regular intervals, usually shorter than a year (monthly or quarterly). DCA is generally used for more volatile investments like stocks or mutual funds, rather than for bonds, CDs, etc. In a broader sense, DCA can include automatic deductions from your paycheck that go into a retirement plan. For our purposes, however, we will focus on the first type of DCA. (To learn more, read DCA: It Gets You In At The Bottom and Dollar-Cost Averaging Pays.) DCA is a good strategy for investors with a lower risk tolerance. If you have a lump sum of money to invest and you put it into the market all at once, you run the risk of buying at a peak, which can be unsettling if the prices fall after the investment, which is known as timing risk. -
Decomposing Underwriting Spreads for GSE's and Frequent Issuer Financial Firms
Decomposing Underwriting Spreads for GSEs and Frequent Issuer Financial Firms David M. Harrison Associate Professor Rawls College of Business Administration Texas Tech University Lubbock, TX 79409 [email protected] 806.742.3190 phone 806.742.3197 fax Andrea J. Heuson Professor of Finance University of Miami P.O. Box 248094 5250 University Dr., Jenkins Bldg. Coral Gables, FL 33124 [email protected] 305.284.1866 phone 305.284.4800 fax and Michael J. Seiler Professor and Robert M. Stanton Chair of Real Estate Old Dominion University 2154 Constant Hall Norfolk, VA 23529 [email protected] 757.683.3505 phone 757.683.3258 fax Revise and Resubmit at Journal of Real Estate Finance and Economics December 2010 Decomposing Underwriting Spreads for GSEs and Frequent Issuer Financial Firms Home mortgage debt outstanding grew at a nominal rate of more than 10% per year and a real rate of more than 8% per year during the decade that began in 1997. Much of the increase was funded by investors who purchased mortgage-backed securities through a market supported by Fannie Mae and Freddie Mac – two Government Sponsored Enterprises (GSEs) charged with improving intermediation in the residential mortgage market. Furthermore, both housing and non-housing GSEs and large domestic financial institutions took sizeable investment positions in mortgage-backed securities, funding this increased investment by borrowing in the bond market using callable and non-callable debt agreements. Recent developments make clear that many of these investments carried significant credit risk. This paper investigates the determinants of underwriting fees charged to active GSE and financial industry borrowers on debt issuances, how such fees change over time, and how they vary with the characteristics of the debt, the underwriting mechanism, and the issuer. -
Electronic Trading Solutions
VlarketAxess OTC Derivatives: Electronic Trading Solutions Best Wlulti-Dealer CDS Trading Platform www.marketaxess.com Member SIPC Confidential and proprietary information of MarketAxess Holdings Inc. (the "company"). None ofthe information contained herein may be ; excerpted, copied, disseminated or otherwise disclosed to any other person without the company's express written consent. Page 1 About MarketAxess IVlarkerAxess' MarketAxess formed in 2000 to build technology solutions to promote efficiency, transparency and liquidity in credit markets Patented electronic trading system is an institutional participant to multi- dealer trading platform SEC-registered broker-dealer and ATS operator; U.K. affiliate is FSA- registered Multilateral Trading Facility 750+ active institutional participant firms and 72 participating broker-dealers Current products traded include HG Corporate bonds, High Yield, CDS, Emerging Market debt. Agency debt, European credit Profitable since 2003 and completed an Initial Public Offering in November 2004 (NASDAQ: MKTX) Leading provider of pre-trade data (MarketAxess Corporate BondTicker™), electronic trading solutions, and post-trade reporting and straight through processing CDS product launched in late 2005 Member SIPC Confidential and proprietary information of MarketAxess Holdings Inc. (the "company"). None ofthe information contained herein may be excerpted, copied, disseminated or otherwise disclosed to any other person without the company's express written consenL Page 2 Curren Privative Clearinghouse Activity MarketAxess CME Group Eurex NYSE Liffe LCH.CIearnet BCIear •Energy Energy • Interest Rates • Equities •Commodities Agriculture • Equities • Commodities •Currency Currency • Inflation • Credit* •Agriculture Equities •Credit* Credit •Equities* Eurex Credit •Interest Rates* Clear •Weather* • Credit* *Mot Currently Live Member SIPC Confidential and proprietary information of MarketAxess Holdings Inc. (the "company"). -
Tradeweb Markets June 2021 MAR Press Release Final.Pdf
NEWS RELEASE Tradeweb reports volume of $23.1 trillion in June and $62.0 trillion in second quarter June ADV up 34.7% year over year; second quarter ADV up 25.5% year over year NEW YORK – July 7, 2021 – Tradeweb Markets Inc. (Nasdaq: TW), a leading, global operator of electronic marketplaces for rates, credit, equities and money markets, today reported total trading volume for June 2021 of $23.1 trillion (tn). Average daily volume (ADV) for the month was $1.05tn, an increase of 34.7 percent (%) year over year (YoY). For the second quarter of 2021, total trading volume was $62.0tn and ADV was $976.9 billion (bn), an increase of 25.5% YoY, with preliminary average variable fees per million dollars of volume traded of $2.70 (see pg.7 of the pdf for the detailed breakdown of each underlying asset class). In U.S. Credit, Tradeweb’s share of both fully electronic High Grade and High Yield TRACE reached a record for the firm of 13.1% and 5.4%, respectively, during the month of June. Activity in U.S. High Grade and European credit was driven by record activity in portfolio trading, while U.S. High Yield volumes were boosted by record activity in Tradeweb AllTrade. In U.S. Treasuries, ADV was a record as client activity of sessions-based trading reached a monthly record and usage of streams liquidity during June reached its second-highest level; this record was exclusive of the recently closed purchase of the Nasdaq Fixed Income business. Emerging Markets interest rate swaps activity also reached a platform record. -
The Behavior of Residential Mortgage Yields Since 1951. Jack M. Guttentag
This PDF is a selection from an out-of-print volume from the National Bureau of Economic Research Volume Title: Essays on Interest Rates, Volume 1 Volume Author/Editor: Jack M. Guttentag and Phillip Cagan, eds. Volume Publisher: NBER Volume ISBN: 0-87014-201-1 Volume URL: http://www.nber.org/books/gutt69-1 Publication Date: 1969 Chapter Title: The Behavior of Residential Mortgage Yields Since 1951 Chapter Author: Jack M. Guttentag Chapter URL: http://www.nber.org/chapters/c1208 Chapter pages in book: (p. 29 - 76) 2 TheBehavior of Residential Mortgage Yields Since 1951 Jack M. Guttentag This chapter reports some selected findings drawn from a study of the behavior of residential mortgage interest rates in the period since 1951. The findings reported here are based in part on new monthly and quarterly time series on residential mortgage rates and terms drawn from the internal records of some large life insurance com- panies.' These new data have a combination of important attributes heretofore not available in any single series. First, the date of record is the date when loans were committed or authorized by lenders, rather than the date on which funds were dis- bursed. Hence the long and erratic lag characteristic of a series recorded on a disbursement basis is largely eliminated. Second, the data cover all three types of residential mortgages (FHA, VA, and conventional); separate series are also available on mortgages acquired through correspondents as opposed to those originated directly by life insurance companies. Third, the data include loan-value ratios and maturities, as well as fees and charges collected and paid by the lender over and above the contract rate. -
HOW VALUE AVERAGING ADDS VALUE Achieving Investment Goals Even in Tough Economic Times
VA Investment Software HOW VALUE AVERAGING ADDS VALUE Achieving Investment Goals Even in Tough Economic Times Written by Bruce Ramsey November 15, 2010 Copyright 2010 VA Investment Software, All rights reserved How Value Averaging Adds Value The purpose of this document is to demonstrate that by using the Value Averaging (VA) investment strategy, the probability of achieving the target value for a portfolio is very high over a 5 or 10 year time frame. In addition, it will show that above average returns are possible without increasing risk. It will also demonstrate that Dollar Cost Averaging (DCA) fails in most instances of helping investors to achieve their savings target. Value Averaging is a formula investment strategy which has be shown to achieve lower average costs and higher rates of return than alternative strategies. The power of the Value Averaging method derives from its marriage of two proven but separate techniques: Dollar Cost Averaging and Portfolio Rebalancing. Value Averaging is not new as it was first researched and written about in 1988 by then Harvard Professor Dr. Michael Edleson. By considering a portfolio’s expected rate of return (something that the "Dollar-Cost Averaging" method neglects), the "Value Averaging" method helps to identify periods of over and underperformance. The mathematical imperative of Dollar Cost Averaging, the time honored purchase of equal periodic amounts of stock or mutual funds, forces investors to buy more shares when prices are low than when they are high, increasing overall returns, on average. Rebalancing, on the other hand, is most often applied to mature portfolios and mandates the periodic adjustment of portfolio allocations back to a set policy, forcing a strong policy of “buy low / sell high” discipline into an investors trading decision making. -
Regulatory Notice 19-22
Regulatory Notice 19-22 ATS Fixed Income Trading July 9, 2019 Volume Notice Type FINRA Requests Comment on a Proposal to Publish 00 Request for Comment ATS Volume Data for Corporate Bonds and Agency Suggested Routing Debt Securities on FINRA’s Website 00 Compliance Comment Period Expires: September 7, 2019 00 Fixed Income 00 Legal 00 Operations Summary 00 Senior Management FINRA requests comment on a proposal to expand the alternative trading 00 Systems system (ATS) volume data that it publishes on its website to include 00 Trading information on transactions in corporate bonds and agency debt securities that occur within an ATS and are reported to FINRA’s Trade Reporting and Compliance Engine (TRACE). Key Topics 00 Alternative Trading Systems Questions concerning this Notice should be directed to: 00 Fixed Income 00 Chris Stone, Vice President, Transparency Services, at (202) 728-8457 00 TRACE-Eligible Security or [email protected]; 00 Transparency 00 Patrick Geraghty, Vice President, Market Regulation, at (240) 386-4973 or [email protected]; Referenced Rules 00 Racquel Russell, Associate General Counsel, Office of General Counsel 00 FINRA Rule 6110 (OGC), at (202) 728-8363 or [email protected]; or 00 FINRA Rule 6610 00 Robert McNamee, Assistant General Counsel, OGC, at (202) 728-8012 00 FINRA Rule 6710 or [email protected]. 00 FINRA Rule 6720 00 FINRA Rule 6730 00 FINRA Rule 6732 00 FINRA Rule 6750 1 19-22 July 9, 2019 Action Requested FINRA encourages all interested parties to comment on the proposal. Comments must be received by September 7, 2019.