Zvi Wiener is a Professor of Finance and the former dean [1] of the Hebrew University Business School Business administration at the Hebrew University of Jerusalem. [2]
Zvi Wiener is a Professor of Finance and the former dean [1] of the Hebrew University Business School Business administration at the Hebrew University of Jerusalem. [2]
Wiener has Ph.D. in mathematics from the Weizmann Institute of Science in Rehovot (1994). He completed postdoc at the Wharton Business School of the University of Pennsylvania and then joined the Fixed Income division of Lehman Brothers in New York City. Since 1996 Wiener joined the Hebrew University faculty.
Wiener is the former Head of the Finance Department and the academic manager of the Executive MBA program [3] specializing in Finance and Banking at the Hebrew University.
Wiener is one of the founders [4] of the Professional Risk Managers' International Association (PRMIA) and serves as a director of PRMIA in Israel. [5] He also served as a consultant for many institutions like Pension funds, Ministry of Finance, the Bank of Israel, Israel Securities Authority [6] and the Tel Aviv Stock Exchange. Wiener also served at the Bank of Israel foreign reserves investment committee.
Wiener provides lobbying services to Bank Hapoalim, and also holds a private company, named Optimize Risk Management Ltd. According to an investigation by The Marker magazine, Wiener's private activities violate the directives of the Supervisor of Wages and Labor Agreements since he serves at the same time as Dean at the Hebrew University and founded by the Israeli government. According to Wiener these activities are in line with regulations. However, the Council for Higher Education did not confirm his claim and instruct the Hebrew University to examine Wiener's employment exception. The Enforcement Branch at the Office of the Supervisor of Wages and Labor Agreements also initiated an examination of that exception. [7] It was also reported that Wiener has promoted a private entrepreneur's appointment at the Hebrew University immediately before the last contributed a large amount of money to the School of Business Administration at the Hebrew University. [8]
Wiener won the Rothschild Fellowship [9] for young scholars of outstanding academic merit and the Alon fellowship for young excellent Scientists. He also won the Teva prize named after Dan Suesskind for research on Dividend policy. [10]
His areas of expertise are Financial modeling, Risk Management, Options and other derivatives with Applications to Corporate finance, Structured product, Stochastic process, Monte Carlo Simulation and Game Theory.
Research of Wiener was published in academic journals including Journal of Finance [11] , Review of Financial Studies, [12] Journal of Banking and Finance, [13] Journal of Derivatives, [14] Journal of Game Theory, [15] Journal of Money Credit and Banking, [16] Journal of Corporate Finance [17] and many others.
Financial economics is the branch of economics characterized by a "concentration on monetary activities", in which "money of one type or another is likely to appear on both sides of a trade". Its concern is thus the interrelation of financial variables, such as share prices, interest rates and exchange rates, as opposed to those concerning the real economy. It has two main areas of focus: asset pricing and corporate finance; the first being the perspective of providers of capital, i.e. investors, and the second of users of capital. It thus provides the theoretical underpinning for much of finance.
The Black–Scholes or Black–Scholes–Merton model is a mathematical model for the dynamics of a financial market containing derivative investment instruments. From the parabolic partial differential equation in the model, known as the Black–Scholes equation, one can deduce the Black–Scholes formula, which gives a theoretical estimate of the price of European-style options and shows that the option has a unique price given the risk of the security and its expected return. The equation and model are named after economists Fischer Black and Myron Scholes; Robert C. Merton, who first wrote an academic paper on the subject, is sometimes also credited.
A short-rate model, in the context of interest rate derivatives, is a mathematical model that describes the future evolution of interest rates by describing the future evolution of the short rate, usually written .
The numéraire is a basic standard by which value is computed. In mathematical economics it is a tradable economic entity in terms of whose price the relative prices of all other tradables are expressed. In a monetary economy, acting as the numéraire is one of the functions of money, to serve as a unit of account: to provide a common benchmark relative to which the worths of various goods and services are measured. This concept was confused between the properties of ‘money’ and ‘units of account’ until 1874-7, Leon Walras clarified it. He showed that the price can be expressed without introducing "money." Price can be translated in term of another.
Financial risk management is the practice of protecting economic value in a firm by managing exposure to financial risk - principally operational risk, credit risk and market risk, with more specific variants as listed aside. As for risk management more generally, financial risk management requires identifying its sources, measuring it, and the plans to address them. See Finance § Risk management for an overview.
In finance, a bond option is an option to buy or sell a bond at a certain price on or before the option expiry date. These instruments are typically traded OTC.
In mathematical finance, a Monte Carlo option model uses Monte Carlo methods to calculate the value of an option with multiple sources of uncertainty or with complicated features. The first application to option pricing was by Phelim Boyle in 1977. In 1996, M. Broadie and P. Glasserman showed how to price Asian options by Monte Carlo. An important development was the introduction in 1996 by Carriere of Monte Carlo methods for options with early exercise features.
Financial modeling is the task of building an abstract representation of a real world financial situation. This is a mathematical model designed to represent the performance of a financial asset or portfolio of a business, project, or any other investment.
In financial mathematics, the Ho–Lee model is a short-rate model widely used in the pricing of bond options, swaptions and other interest rate derivatives, and in modeling future interest rates. It was developed in 1986 by Thomas Ho and Sang Bin Lee.
VIX is the ticker symbol and the popular name for the Chicago Board Options Exchange's CBOE Volatility Index, a popular measure of the stock market's expectation of volatility based on S&P 500 index options. It is calculated and disseminated on a real-time basis by the CBOE, and is often referred to as the fear index or fear gauge.
In finance, a lattice model is a technique applied to the valuation of derivatives, where a discrete time model is required. For equity options, a typical example would be pricing an American option, where a decision as to option exercise is required at "all" times before and including maturity. A continuous model, on the other hand, such as Black–Scholes, would only allow for the valuation of European options, where exercise is on the option's maturity date. For interest rate derivatives lattices are additionally useful in that they address many of the issues encountered with continuous models, such as pull to par. The method is also used for valuing certain exotic options, where because of path dependence in the payoff, Monte Carlo methods for option pricing fail to account for optimal decisions to terminate the derivative by early exercise, though methods now exist for solving this problem.
The following outline is provided as an overview of and topical guide to finance:
In finance, the Heston model, named after Steven L. Heston, is a mathematical model that describes the evolution of the volatility of an underlying asset. It is a stochastic volatility model: such a model assumes that the volatility of the asset is not constant, nor even deterministic, but follows a random process.
In finance, model risk is the risk of loss resulting from using insufficiently accurate models to make decisions, originally and frequently in the context of valuing financial securities. However, model risk is more and more prevalent in activities other than financial securities valuation, such as assigning consumer credit scores, real-time probability prediction of fraudulent credit card transactions, and computing the probability of air flight passenger being a terrorist. Rebonato in 2002 defines model risk as "the risk of occurrence of a significant difference between the mark-to-model value of a complex and/or illiquid instrument, and the price at which the same instrument is revealed to have traded in the market".
Menachem Brenner is a professor of finance and a Bank and Financial Analysts Faculty Fellow at New York University Stern School of Business. He teaches a course in options and futures, along with an introduction to finance course. Brenner also teaches for the Master of Science in Global Finance (MSGF), which is a joint program between Stern and the Hong Kong University of Science and Technology.
In financial mathematics, the Black–Karasinski model is a mathematical model of the term structure of interest rates; see short-rate model. It is a one-factor model as it describes interest rate movements as driven by a single source of randomness. It belongs to the class of no-arbitrage models, i.e. it can fit today's zero-coupon bond prices, and in its most general form, today's prices for a set of caps, floors or European swaptions. The model was introduced by Fischer Black and Piotr Karasinski in 1991.
Quantitative analysis is the use of mathematical and statistical methods in finance and investment management. Those working in the field are quantitative analysts (quants). Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management, investment management and other related finance occupations. The occupation is similar to those in industrial mathematics in other industries. The process usually consists of searching vast databases for patterns, such as correlations among liquid assets or price-movement patterns.
Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling of financial markets.
In finance, a contingent claim is a derivative whose future payoff depends on the value of another “underlying” asset, or more generally, that is dependent on the realization of some uncertain future event. These are so named, since there is only a payoff under certain contingencies. Any derivative instrument that is not a contingent claim is called a forward commitment.
The Hebrew University Business School, is the business school of The Hebrew University and based in Mt. Scopus. Founded in 1952 by Daniel and Raphael Recanati, The Jerusalem School of Business Administration is consistently rated as one of the top business schools in the country, for programs instructed in both Hebrew and English.
| National libraries | |
|---|---|
| Scientific databases | |
