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Ivan Brick's Vita
VITA Ivan E. Brick Rutgers University Rutgers Business School at Newark and New Brunswick 1 Washington Park Newark, NJ 07102 Telephone: (973) 353-5155 Email: [email protected] WORK EXPERIENCE: Rutgers University – Rutgers Business School - Dean’s Professor of Business 2016 - Present - Chair, Finance and Economics 1996 - Present Department - Associate Dean for Faculty 1993 - 1996 - Professor 1990 - Present - Acting Director Center for Entrepreneurial Management 1995 - 1997 - Director, David Whitcomb Center for Research in Financial Services 1988 - Present - Member of the Board of Directors, Rutgers Minority Investment Corporation 1991 - 1997 - Associate Professor 1984 - 1990 - Members of Graduate Faculty 1983 - Present of Rutgers - Newark - Assistant Professor 1978 - 1984 Rutgers University - Rutgers College - New Brunswick - Instructor 1976 - 1978 Columbia University - Visiting Associate Professor Summer - 1983 - Visiting Assistant Professor Spring - 1978 - Preceptor Summer - 1976 EDUCATION: Columbia University - Ph.D. - January 1979 Major: Finance Dissertation: The Debt Maturity Structure Decision Columbia University - M. Phil. - May 1976 Major: Finance Yeshiva University - B.A. - June 1973 2 Major: Mathematics Minor: Economics CONSULTING: Clients include E.F. Hutton, American Telephone and Telegraph, Chemical Bank, Paine Webber, Mitchell Hutchins Inc., Bell Communications Research, Seton Company, Financial Accounting Institute, Economic Studies, Inc., New York Institute of Finance, and Robert Wallach. PUBLICATIONS: 1) "Monopoly Price-Advertising Decision-Making under Uncertainty," Journal of Industrial Economics, March 1981 (with Harsharanjeet Jagpal), pp. 279-285. 2) "Labor Market Equilibria under Limited Liability," Journal of Economics and Business, January 1982 (with Ephraim F. Sudit), pp. 51-58. 3) "A Note on Beta and the Probability of Default," Journal of Financial Research, Fall 1981 (with Meir Statman), pp. -
Dynamic Hedging Strategies
DYNAMIC HEDGING STRATEGIES Dynamic Hedging Strategies In this article, the authors use the Black-Scholes option pricing model to simulate hedging strategies for portfolios of derivatives and other assets. by Simon Benninga and Zvi Wiener dynamic hedging strategy typically involves two 1. A SIMPLE EXAMPLE positions: To start off, consider the following example, which we A have adapted from Hull (1997): A ®nancial institution has Í A static position in a security or a commitment by a sold a European call option for $300,000. The call is writ- ®rm. For example: ten on 100,000 shares of a non-dividend paying stock with the following parameters: ± A ®nancial institution has written a call on a stock or a portfolio; this call expires some time in the future Current stock price = $49 and is held by a counterparty which has the choice Strike price = X = $50 of either exercising it or not. Stock volatility = 20% Risk-free interest rate r =5%. ± A U.S. ®rm has committed itself to sell 1000 widgets Option time to maturity T = 20 weeks at some de®ned time in the future; the receipts will Stock expected return = 13% be in German marks. The Black-Scholes price of this option is slightly over Í An offsetting position in a ®nancial contract. Typically, $240,000 and can be calculated using the Mathematica this counter-balancing position is adjusted when market program de®ned in our previous article: conditions change; hence the name dynamic hedging strategy: In[1]:= Clear[snormal, d1, d2, bsCall]; snormal[x_]:= [ [ ]] + ; To hedge its written call, the issuing ®rm decides to buy 1/2*Erf x/Sqrt 2. -
International Risk Management Conference 2016 “Risk
International Risk Management Conference 2016 Ninth Annual Meeting of The Risk, Banking and Finance Society Jerusalem, Israel: June 13-15, 2016 www.irmc.eu CALL FOR PAPERS “Risk Management and Regulation in Banks and Other Financial Institutions – How to Achieve Economic Stability?” KEYDATES: Call for Papers Deadline: March 15, 2016 (Full papers – Final Draft); Paper acceptance: April 8, 2016 The Hebrew University of Jerusalem (http://new.huji.ac.il/en) anD the IRMC permanent orGanizers (University of Florence, NYU Stern Salomon Center) in collaboration with Bank of Israel anD PRMIA, invite you to join the ninth edition of the International Risk Management Conference in Jerusalem, Israel, June 13-15, 2016. The conference will bring together leaDing experts from various acaDemic Disciplines anD professionals for a three-day conference incluDing three keynote plenary sessions, three parallel featured sessions and a professional workshop. The conference welcomes all relevant methodological and empirical contributions. Keynote and Featured Speakers: Robert Israel Aumann (Hebrew University of Jerusalem). Member of the United States National Academy of Sciences anD Professor at the Center for the StuDy of Rationality in the Hebrew University of Jerusalem in Israel. Aumann received the Nobel Prize in Economics in 2005 for his work on conflict anD cooperation through Game-theory analysis. Edward I. Altman (NYU Stern), Carol Alexander (University of Sussex & EDitor in Chief JBF), Linda Allen (City University of New York), the Scientific Committee Chairman Menachem Brenner (NYU Stern), Michel Crouhy (Natixis), Karnit Flug (Bank of Israel Governor - TBC), Ben Golub (CRO Blackrock), Fernando Zapatero (USC Marshall School of Business) anD the Professional Risk Manager International Association. -
Auctioning Sovereign Bonds: a Global Cross-Section Investigation of the Price Mechanism *
Auctioning Sovereign Bonds: A Global Cross-Section Investigation of the Price Mechanism * Menachem Brenner Stern School of Business, New York University Email: [email protected] Dan Galai Jerusalem School of Business, Hebrew University of Jerusalem Email: [email protected] Orly Sade Jerusalem School of Business, Hebrew University of Jerusalem and Stern School of Business, New York University Email: [email protected] November 2007 * A substantial part of this paper was previously distributed under the title: "Auctioning Financial Assets: Discriminatory Vs Uniform, which Method is Preferred." We benefited from discussions with Bill Allen, Bruno Biais, Peter Cramton, Kenneth Garbade, Avner Kalay, Marco Pagano, Michal Passerman, Jesus M. Salas, Raghu Sundaram, Avi Wohl, Yishay Yafeh, Zehavit Yosef and Jaime Zender. We thank Moran Ofir for her excellent research assistance. We would also like to thank the participants of the 2006 European Finance Association Meeting in Zurich, MTS 2006, Istanbul and FUR XIII 2006, Rome. We also benefited from comments received from the participants of seminars at Tel-Aviv University, IDC (Israel), NYU, the University of Colorado at Boulder University of Massachusetts at Amherst and the Federal Reserve Bank of NY. We thank “The Caesarea Edmond Benjamin de Rothschild Center for Capital Markets and Risk” at IDC, the Krueger Center for Finance and the Zagagi Center at the Hebrew University of Jerusalem for partial financial support. Auctioning Sovereign Bonds: Global Cross-Section Investigation of the Price Mechanism Abstract Many financial assets, especially government bonds, are issued by an auction. An important feature of the design is the auction pricing mechanism: Uniform vs. -
Introduction to Var (Value-At-Risk)
Introduction to VaR (Value-at-Risk) Zvi Wiener* Risk Management and Regulation in Banking Jerusalem, 18 May 1997 * Business School, The Hebrew University of Jerusalem, Jerusalem, 91905, ISRAEL [email protected] 972-2-588-3049 The author wish to thank David Ruthenberg and Benzi Schreiber, the organizers of the conference. The author gratefully acknowledge financial support from the Krueger and Eshkol Centers, the Israel Foundations Trustees, the Israel Science Foundation, and the Alon Fellowship. Introduction to VaR (Value-at-Risk) Abstract The concept of Value-at-Risk is described. We discuss how this risk characteristic can be used for supervision and for internal control. Several parametric and non-parametric methods to measure Value-at-Risk are discussed. The non-parametric approach is represented by historical simulations and Monte-Carlo methods. Variance covariance and some analytical models are used to demonstrate the parametric approach. Finally, we briefly discuss the backtesting procedure. 2 Introduction to VaR (Value-at-Risk) I. An overview of risk measurement techniques Modern financial theory is based on several important principles, two of which are no-arbitrage and risk aversion. The single major source of profit is risk. The expected return depends heavily on the level of risk of an investment. Although the idea of risk seems to be intuitively clear, it is difficult to formalize it. Several attempts to do so have been undertaken with various degree of success. There is an efficient way to quantify risk in almost every single market. However, each method is deeply associated with its specific market and can not be applied directly to other markets. -
Introduction to Var (Value-At-Risk)
Introduction to VaR (Value-at-Risk) Zvi Wiener* Risk Management and Regulation in Banking Jerusalem, 18 May 1997 * Business School, The Hebrew University of Jerusalem, Jerusalem, 91905, ISRAEL [email protected] The author wish to thank David Ruthenberg and Benzi Schreiber, the organizers of the conference. The author gratefully acknowledge financial support from the Krueger and Eshkol Centers at the Hebrew University, the Israel Foundations Trustees and the Alon Fellowship. Introduction to VaR (Value-at-Risk) Abstract The concept of Value-at-Risk is described. We discuss how this risk characteristic can be used for supervision and for internal control. Several parametric and non-parametric methods to measure Value-at-Risk are discussed. The non-parametric approach is represented by historical simulations and Monte-Carlo methods. Variance covariance and some analytical models are used to demonstrate the parametric approach. Finally, we briefly discuss the backtesting procedure. 2 Introduction to VaR (Value-at-Risk) I. An overview of risk measurement techniques. Modern financial theory is based on several important principles, two of which are no-arbitrage and risk aversion. The single major source of profit is risk. The expected return depends heavily on the level of risk of an investment. Although the idea of risk seems to be intuitively clear, it is difficult to formalize it. Several attempts to do so have been undertaken with various degree of success. There is an efficient way to quantify risk in almost every single market. However, each method is deeply associated with its specific market and can not be applied directly to other markets. -
Curriculum Vitae
September, 2020 Abigail Hurwitz Current Position Assistant Professor (Lecturer) Environmental Economics and Management Robert H. Smith Faculty of Agriculture, Food and Environment The Hebrew University of Jerusalem Email: [email protected] ; [email protected] Mobile: +972 54 544 3281 Other Positions 2019-20: Visiting Scholar, The Wharton School, University of Pennsylvania. Education 2018 Ph.D., Finance, The Hebrew University of Jerusalem. 2008 M.A., Financial Economics, The Hebrew University of Jerusalem 2004 B.A., Economics and Business Administration, The Hebrew University of Jerusalem Past Positions 2018 – 2020 Lecturer, Department of Finance, The College of Management Academic Studies, Israel 2018 – 2019 Postdoctoral Fellow, Department of Finance, The Wharton School, The University of Pennsylvania. 2010 – 2013 Chief of Operations and Business Development, Ashdot – Itur Hon, Israel. 2009 – 2010 ICAAP Project - Manager (Bank Capital Management), Mizrahi-Tefahot Bank, Israel. 2007 – 2009 Basel II Project - Assistant Manager, Mizrahi-Tefahot Bank, Israel. 2004 – 2007 Budgets Officer, IDF. Financial Advisor to the Chief of General Staff Unit / Budget Division in the Ministry of Defense - (Rank of Captain). Grants Awards and Honors • Pension Research Council/TIAA Institute Partnership Grant (35,000 USD), 2020-2021, with Olivia S. Mitchell and Orly Sade • GIF (German-Israeli Foundation for Scientific Research and Development) Young Scientists Grant (15,000 EURO), 2019 • TFI (Think Forward Initiative) research grant -
Curriculum Vitae
VITA AVNER KALAY Personal Information USA ISRAEL Residence Residence 1735 South Wasatch drive 5 Aluf Kalman Magen Salt Lake City Tel Aviv Utah 84108 Israel 61070 801 232 1891 Tele 011 972 54 7260326 . Office Office University of Utah Tel Aviv University David Eccles School of Business Faculty of Management Salt Lake City Ramat Aviv Utah 84112 Tel Aviv 801 581 5457 Israel Fax 801 581 7214 011 972 3 640 6298 E-Mail [email protected] E-Mail [email protected] Research Interests Capital market Theory and Efficiency, Derivatives and Real Options, Economics of Information, Agency Theory, Optimal Contracting, Micro-Structure of Markets, and Corporate Finance. Education B.A. in economics (Cum Laude), Tel Aviv University, Tel Aviv, Israel. M.Sc in Business Administration, University of Rochester, Rochester, New York. Ph.D in Business Administration, University of Rochester, Rochester, New York. Honors and Awards Recipient of New York University’s Presidential Fellowship for full-time research during the fall semester of 1982. The recipient of the Glucksman Fellowship for research in security markets. A Solomon Brothers Fellowship for the academic year of 1986-1987. Garn Faculty Scholar, University of Utah, 1989-1999. Research 1 grant from Sapir Center of Economic Research 1999-2000. Member of the review committee of the Swiss National Science Foundation. Utah Winter Finance Conference Co-founder and co-organizer of the prestigious Utah Winter Finance Conference. The conference is held every February since 1991. Employment 2002–Present Francis A. Madsen Professor of Finance, University of Utah. 2018–Present Professor Emeritus, Tel Aviv University 2012 - 2018 Maurice and Gertrude Deutch Chair for Research in Finance and Accounting, Tel Aviv University 1999-2012 Professor of Finance, Tel Aviv University, Tel Aviv, Israel. -
Insuring Longevity Risk While Having Multiple Saving Accounts
IS ONE PLUS ONE ALWAYS TWO? INSURING LONGEVITY RISK WHILE HAVING MULTIPLE SAVING ACCOUNTS Technical Report Abigail Hurwitz Orly Sade IS ONE PLUS ONE ALWAYS TWO? INSURING LONGEVITY RISK WHILE HAVING MULTIPLE SAVING * ACCOUNTS1 TECHNICAL REPORT † Abigail Hurwitz and Orly Sade2 October 2020 Abstract We investigate the possible consequences of having multiple savings accounts for payout decisions at retirement. Our results contribute to the literature on individual annuitization decisions and the discussions about asset liability management (ALM) and reserve management of long-term-savings providers. Our study is based on proprietary data comprising 15,293 Israeli retirees’ annuitization decisions during the years 2009–2013, an online experimental study and a laboratory experiment. We document a significant effect of the size of accumulated funds on the decision to annuitize. Retirees with smaller accounts have a significantly higher propensity to cash out their accounts upon retirement (controlling for related variables). These findings may be driven either by specific characteristics and attitudes of individuals who save less, or by behavior arising from managing multiple accounts possibly related to mental accounting, or both. Our results are consistent with the mental accounting argument and were obtained using a unique identification strategy that takes occupation information into account. Our data also suggest that insurance companies might consider treating small and large accounts differently in their ALM strategies. We conduct an Internet experimental survey with a large representative sample as well as a laboratory experiment both confirm these empirical results. Further, our findings suggest that the composition of multiple accounts affects the annuitization rates of the total savings portfolio, mostly regarding the propensity to either fully annuitize or fully cash out the accumulated funds. -
Twenty-Sixth Annual Conference Multinational Finance Society
TWENTY-SIXTH ANNUAL CONFERENCE MULTINATIONAL FINANCE SOCIETY http://www.mfsociety.org Sponsored by Jerusalem School of Business Administration, The Hebrew University, Israel June 30 - July 3, 2019 Jerusalem School of Business Administration The Hebrew University of Jerusalem Mount Scopus 9190501 Jerusalem, ISRAEL Multinational Finance Society Multinational Finance Society : A non-profit organization established in 1995 for the advancement and dissemination of financial knowledge and research findings pertaining to industrialized and developing countries among members of the academic and business communities. Conference Objective To bring together researchers, doctoral students and practitioners from various international institutions to focus on timely financial issues and research findings pertaining to industrialized and developing countries. Keynote Speakers Eti Einhorn - Tel Aviv University, Israel Dan Galai - Hebrew University of Jerusalem, Israel Roni Michaely - University of Geneva, Switzerland Program Committee - Chairs Keren Bar-Hava - Hebrew University of Jerusalem, Israel Jeffrey Lawrence Callen - University of Toronto, Canada Panayiotis Theodossiou - CUT, Cyprus Program Committee Meni Abudy - Bar-Ilan University, Israel Sagi Akron - University of Haifa, Israel Andreas Andrikopoulos - University of the Aegean, Greece George Athanassakos - University of Western Ontario, Canada Balasingham Balachandran - La Trobe University, Australia Laurence Booth - University of Toronto, Canada Christian Bucio - Universidad Autónoma del Estado -
1 August 1, 2021 Curriculum Vitae SANJIV RANJAN DAS William And
1 September 24, 2021 Curriculum Vitae SANJIV RANJAN DAS William and Janice Terry Professor of Finance and Data Science Santa Clara University, Leavey School of Business Department of Finance, 316M Lucas Hall 500 El Camino Real, Santa Clara, CA 95053. Email: [email protected], Tel: 408-554-2776 Web: http://srdas.github.io/ Amazon Scholar at AWS EDUCATION • University of California, Berkeley, M.S. in Computer Science (Theory), December 2000. Master's Thesis: \Lattice Excursions in Financial Models". • New York University, Ph.D in Finance, September 1994. Ph.D. Dissertation: \Interest Rate Shocks, Characterizations of the Term Structure, and the Pricing of Interest Rate Sensitive Contingent Claims." • New York University, M.Phil in Finance, May 1992. • Indian Institute of Management, Ahmedabad, MBA, May 1984. • Indian Institute of Cost & Works Accountants of India, AICWA, May 1983. • University of Bombay, B.Com in Accounting and Economics, May 1982. HONORS & AWARDS, APPOINTMENTS 48. Award for the Best Paper on Financial Institutions at the Western Finance Association (WFA) Conference (2019) for \Systemic Risk and the Great Depression" (with Kris Mitchener and Angela Vossmeyer). 47. Harry Markowitz Best Paper Award for \A New Approach to Goals-Based Wealth Management" (2019) at the Journal of Investment Management (with Dan Ostrov, Anand Radhakrishnan, Deep Srivastav). 46. Faculty Scholar of the Markkula Center for Ethics at SCU (2018). 45. National Stock Exchange (NSE) India and New York University (NYU) grant for the project \On the Intercon- nectedness of Financial Institutions: Emerging Markets Experience." (with Professors Madhu Kalimipalli and Subhankar Nayak), 2017. 44. Santa Clara University, Faculty Senate Professor, 2017-18. -
Var) the Authors Describe How to Implement Var, the Risk Measurement Technique Widely Used in financial Risk Management
V A L U E-A T-R I S K (V A R) Value-at-Risk (VaR) The authors describe how to implement VaR, the risk measurement technique widely used in financial risk management. by Simon Benninga and Zvi Wiener n this article we discuss one of the modern risk- million dollars by year end (i.e., what is the probability measuring techniques Value-at-Risk (VaR). Mathemat- that the end-of-year value is less than $80 million)? I ica is used to demonstrate the basic methods for cal- 3. With 1% probability what is the maximum loss at the culation of VaR for a hypothetical portfolio of a stock and end of the year? This is the VaR at 1%. a foreign bond. We start by loading Mathematica ’s statistical package: VALUE-AT-RISK Needs "Statistics‘Master‘" Value-at-Risk (VaR) measures the worst expected loss un- [ ] Needs["Statistics‘MultiDescriptiveStatistics‘"] der normal market conditions over a specific time inter- val at a given confidence level. As one of our references We first want to know the distribution of the end-of- states: “VaR answers the question: how much can I lose year portfolio value: with x% probability over a pre-set horizon” (J.P. Mor- Plot[PDF[NormalDistribution[110,30],x],{x,0,200}]; gan, RiskMetrics–Technical Document). Another way of expressing this is that VaR is the lowest quantile of the potential losses that can occur within a given portfolio 0.012 during a specified time period. The basic time period T 0.01 and the confidence level (the quantile) q are the two ma- jor parameters that should be chosen in a way appropriate 0.008 to the overall goal of risk measurement.