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Entropy Measures in Finance and Risk Neutral Densities
Entropy Measures in Finance and Risk Neutral Densities

...  The mathematical description of the new entropy functions was in discrete case and for our problem we consider the continuous cases as an analogue of the discrete case: ...
La Cassa Controparte Centrale dei Mercati Cash Azionari US
La Cassa Controparte Centrale dei Mercati Cash Azionari US

... TIMS in fact determines Initial Margins for the Integrated Portfolio by algebraically summing the theoretical liquidation gains/loss of each position under the same hypothesis of underlying price variation within the Margin Interval. In such a way a full offset is obtained among positions that havin ...
Modeling Variance of Variance: The Square
Modeling Variance of Variance: The Square

... particularly in option pricing applications. On the discrete-time, empirical side, the success of the ARCH framework introduced by Engle [43] has led to explosive growth of another strand of the time-varying volatility literature3 . While much of the stochastic volatility option pricing theory follo ...
Introduction to jump and Lévy processes John Crosby
Introduction to jump and Lévy processes John Crosby

Integro–Differential Problems Arising in Pricing Derivatives in Jump
Integro–Differential Problems Arising in Pricing Derivatives in Jump

Tails, volatility risk premium, and equity index returns - Aalto
Tails, volatility risk premium, and equity index returns - Aalto

... key variables in earlier studies. Particularly interesting is the robustness of the volatility risk premium and the jump and tail index to simultaneous inclusion of RND moments. Second, evidence is provided for a number of indexes, as opposed to the common focus on the U.S. stock market. For compari ...
testing intraday volatility spillovers in turkish capital markets
testing intraday volatility spillovers in turkish capital markets

Managerial incentives to increase firm volatility provided by debt
Managerial incentives to increase firm volatility provided by debt

... opposing effects, whether stockholders prefer more volatility depends on the number of options outstanding and firm leverage, as we illustrate next. 2.1.1 Estimation of firm sensitivities To estimate the sensitivities described above, we calculate the value of debt and options using standard pricing ...
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... F.O.B. Common Geographic Pricing Policies F.O.B. means “free on board” (e.g., at some place such as a factory, warehouse, destination,etc.) Customer pay the freight and take risk of shipping product ...
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... Before calculating the risk of a certain position, we need to identify the exposure of the position on a certain day when the risk is calculated. In general, the position consists of spot and forward elements. The identification of exposure for a spot position is straightforward: multiply the accoun ...
Pricing and hedging interest rate caps
Pricing and hedging interest rate caps

... The pricing of interest rate options is based on the area of dynamic term structure modelling. Interest rate caps and floors can be priced using a variety of different models but one model in particular (the LIBOR market model) has gained popularity due to an ability to encompass well-established ma ...
Heterogeneous Beliefs, Speculation, and the Equity Premium ∗
Heterogeneous Beliefs, Speculation, and the Equity Premium ∗

... likelihood that the current data on fundamentals was generated by the model of type 2 agents (for brevity I will simply refer to these agents collectively as agent 2) rather than agent 1. The level of this variable is shown to depend on the past performance of the two agents’ models. After a period ...
Download Dissertation
Download Dissertation

... This bound on the variability of IMRS has a natural connection to the variability of θ (X) in this paper. Therefore, the robust parametric estimator operationalizes the Hansen and Jagannathan (1991) volatility bound for investors who know their model is misspecified but have no better model at the t ...
Financial Liberalization and Emerging Stock Market Volatility
Financial Liberalization and Emerging Stock Market Volatility

1) Determine if each lease is an operating or a capital lease. 2) For
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0224 - European Financial Management Association

Pricing and Hedging Volatility Derivatives
Pricing and Hedging Volatility Derivatives

... variance swaps. Since the price of both variance swaps and volatility swaps depend on the realized variance of the underlying asset, there must be a relationship between their prices to avoid arbitrage. Since variance swaps can be priced and hedged using actively traded European call and put options ...
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NBER WORKING PAPER SERIES SIMPLE VARIANCE SWAPS Ian Martin Working Paper 16884

... Equation (3) follows by put-call parity, which is the relationship callt (K) = putt (K) + S0 − Ke−rt . Although (3) is less concise than (5), it has the appealing feature that it expresses Π(t) in terms of out-of-the-money options only. The most important aspect of Result 1 is that it does not requi ...
CHapter 11 1. The portfolio weight of an asset is total investment in
CHapter 11 1. The portfolio weight of an asset is total investment in

... 13. The CAPM states the relationship between the risk of an asset and its expected return. The CAPM is: E(Ri) = Rf + [E(RM) – Rf] × i Substituting the values we are given, we find: E(Ri) = .045 + (.1170 – .045)(1.25) E(Ri) = .1350 or 13.50% 14. We are given the values for the CAPM except for the  ...
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ON VALIDITY OF THE ASYMPTOTIC EXPANSION APPROACH IN

Derivatives Trading and Its Impact on the Volatility of NSE, India
Derivatives Trading and Its Impact on the Volatility of NSE, India

... In recent past, the volatility of stock returns has been a major topic in finance literature. Empirical researchers have tried to find a pattern in stock return movements or factors determining these movements. Generally, volatility is considered as a measurement of risk in the stock market return a ...
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RW7eCh13 - U of L Class Index

... The return given for Stock Z is 12.1 percent, but according to the CAPM the expected return of the stock should be 13.25 percent based on its level of risk. Stock Z plots below the SML and is overvalued. In other words, its price must decrease to increase the expected return to 13.25 percent. We can ...
RossFCF8ce_SM_ch13
RossFCF8ce_SM_ch13

Dealing With High Volatility “Low Volatility Folios”
Dealing With High Volatility “Low Volatility Folios”

... market, as well as using screens on volatility. During periods when the S&P500 increases or decreases significantly, these portfolios likely will not increase or decrease as much. The lower volatility means the maximum returns and losses in any given period are likely to be of lower magnitude than t ...
Specifying and managing tail risk in portfolios a practical approach
Specifying and managing tail risk in portfolios a practical approach

... Parameter uncertainty is of course only one of the possible extensions of the model (3.3) which has implications for intra-horizon risk. Other directions which have been investigated in the literature include non-normal return distributions, event risk, time-varying volatility, autocorrelation in re ...
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Black–Scholes model

The Black–Scholes /ˌblæk ˈʃoʊlz/ or Black–Scholes–Merton model is a mathematical model of a financial market containing derivative investment instruments. From the model, one can deduce the Black–Scholes formula, which gives a theoretical estimate of the price of European-style options. The formula led to a boom in options trading and legitimised scientifically the activities of the Chicago Board Options Exchange and other options markets around the world. lt is widely used, although often with adjustments and corrections, by options market participants. Many empirical tests have shown that the Black–Scholes price is ""fairly close"" to the observed prices, although there are well-known discrepancies such as the ""option smile"".The Black–Scholes model was first published by Fischer Black and Myron Scholes in their 1973 paper, ""The Pricing of Options and Corporate Liabilities"", published in the Journal of Political Economy. They derived a partial differential equation, now called the Black–Scholes equation, which estimates the price of the option over time. The key idea behind the model is to hedge the option by buying and selling the underlying asset in just the right way and, as a consequence, to eliminate risk. This type of hedging is called delta hedging and is the basis of more complicated hedging strategies such as those engaged in by investment banks and hedge funds.Robert C. Merton was the first to publish a paper expanding the mathematical understanding of the options pricing model, and coined the term ""Black–Scholes options pricing model"". Merton and Scholes received the 1997 Nobel Memorial Prize in Economic Sciences for their work. Though ineligible for the prize because of his death in 1995, Black was mentioned as a contributor by the Swedish Academy.The model's assumptions have been relaxed and generalized in many directions, leading to a plethora of models that are currently used in derivative pricing and risk management. It is the insights of the model, as exemplified in the Black-Scholes formula, that are frequently used by market participants, as distinguished from the actual prices. These insights include no-arbitrage bounds and risk-neutral pricing. The Black-Scholes equation, a partial differential equation that governs the price of the option, is also important as it enables pricing when an explicit formula is not possible.The Black–Scholes formula has only one parameter that cannot be observed in the market: the average future volatility of the underlying asset. Since the formula is increasing in this parameter, it can be inverted to produce a ""volatility surface"" that is then used to calibrate other models, e.g. for OTC derivatives.
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