نتایج جستجو برای: option market modeling

تعداد نتایج: 633521  

2015
Neetu Verma Sujoy Das Namita Srivastava

The goal of present experiments is to investigate the use of multiple kernel learning as a tool for pricing options in the context of Indian stock market for Nifty index options. In this paper, fair price of an option is predicted by Multiple Kernel Support Vector Regression (MKLSVR) using linear combinations of kernels and Single Kernel Support Vector Regression (SKSVR). Prices of option highl...

2002
Jonathan E. Ingersoll

Incentive options are held bymanagers and employees who invariably hold undiversified portfolios with substantial amounts invested in their own company’s common stock. This lack of diversification makes the subjective value of incentive items such as options less than their market value. This paper derives a model for the marginal value of such options or other incentive items. As such, it can ...

L. Yazdanshenas R. Moghadasi S. Yazdani

A model of the Iranian wheat market is specified and fitted to data from 1981-2008. Severaldiagnostic tests were employed in the analysis to determine the specification of the model. Despitethe simplicity of the model and data problems, an examination of the econometric model leads toseveral conclusions with possible important policy implications for the wheat economy in Iran.The general result...

Journal: :J. Computational Applied Mathematics 2015
Long Teng Matthias Ehrhardt Michael Günther

The Quanto option is a cash-settled, cross-currency derivative in which the underlying asset has a payoff in one country, but the payoff is converted to another currency in which the option is settled. Thus, the correlation between the underlying asset and currency exchange rate plays an important role on pricing such options. Market observations give clear evidence that financial quantities ar...

2004
Giovanni Barone-Adesi Robert Engle Loriano Mancini

We propose a new method to compute option prices based on GARCH models. In an incomplete market framework, we allow for the volatility of asset return to differ from the volatility of the pricing process and obtain adequate pricing results. We investigate the pricing performance of this approach over short and long time horizons by calibrating theoretical option prices under the Asymmetric GARC...

1998
Jeff Fleming

A number of recent papers find that the volatility implied by index option prices significantly overstates future stock market volatility. We investigate whether this bias is purely due to measurement error and model misspecification, or whether the bias is also apparent in option market prices. We accomplish this by examining the profits for trading strategies designed to exploit the apparent ...

Journal: :Applied health economics and health policy 2010
Fabio Milani

BACKGROUND The debate on US healthcare reform has largely focused on the introduction of a public health plan option. While supporters stress various beneficial effects that would arise from increased competition in the health insurance market, opponents often contend that a public plan would drive insurers out of the market and potentially lead to the 'collapse' of the private health insurance...

Journal: :JAMDS 2009
Qian Wang Keith W. Hipel D. Marc Kilgour

Real options modeling, which extends the ability of option pricing models to evaluate real assets, can be used to evaluate risky projects because of its capacity to handle uncertainties. This research utilizes possibility theory to represent private risks of a project, which are not reflected in the market and hence are not fully evaluated by standard option pricing models. Using a transformati...

agent-based modeling is an emerging computational technique that makes it possible to simulate complex economic systems, including the banking network, with a bottom-up approach. In this paper, the country's banking network is simulated with an intelligent multi-agent modeling model and indicates that these agents behave based on the adaptive learning. This modeling has been done with the aim o...

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