Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

On Gaussian HJM framework for Eurodollar Futures

View through CrossRef
One of the standard tools for the theoretical analysis of fixed income securities and their associated derivatives is the term structure model of Heath, Jarrow and Morton. In this paper the question, what specific HJM model is consistent with the observed price of an Eurodollar Futures contract? is discussed. Eurodollar Futures, apart from being the most heavily traded futures are connected to London Inter Bank Offered Rate (LIBOR) and to domestic monetary conditions. The answer to the above question will help in pricing any new derivative on Eurodollar Futures or the one that is not heavily traded. A simple tool to measure the adequacy of different HJM structures that may be used to model Eurodollar Futures price process is suggested. Moreover, the question of estimation of parameters of these models by different methods—method of realized volatility, method of maximum likelihood (ML) and a two‐stage method that combines both the realized volatility and ML—is addressed. Although it sounds like a typical statistical procedure, one must be careful in applying standard statistical techniques that are not suitable under arbitrage theory, in particular, ML method. Copyright © 2010 John Wiley & Sons, Ltd.
Title: On Gaussian HJM framework for Eurodollar Futures
Description:
One of the standard tools for the theoretical analysis of fixed income securities and their associated derivatives is the term structure model of Heath, Jarrow and Morton.
In this paper the question, what specific HJM model is consistent with the observed price of an Eurodollar Futures contract? is discussed.
Eurodollar Futures, apart from being the most heavily traded futures are connected to London Inter Bank Offered Rate (LIBOR) and to domestic monetary conditions.
The answer to the above question will help in pricing any new derivative on Eurodollar Futures or the one that is not heavily traded.
A simple tool to measure the adequacy of different HJM structures that may be used to model Eurodollar Futures price process is suggested.
Moreover, the question of estimation of parameters of these models by different methods—method of realized volatility, method of maximum likelihood (ML) and a two‐stage method that combines both the realized volatility and ML—is addressed.
Although it sounds like a typical statistical procedure, one must be careful in applying standard statistical techniques that are not suitable under arbitrage theory, in particular, ML method.
Copyright © 2010 John Wiley & Sons, Ltd.

Related Results

Futures participation as anticipatory practice — what do futures workshops do?
Futures participation as anticipatory practice — what do futures workshops do?
AbstractFutures workshop is a participatory futures research method for producing views on futures and facilitating transformation and empowerment. Since different workshop methods...
Odd version Mathieu-Gaussian beam based on Green function
Odd version Mathieu-Gaussian beam based on Green function
Like the theoretical pattern of non-diffracting Bessel beams, ideal non-diffracting Mathieu beams also carry infinite energy, but cannot be generated as a physically realizable ent...
A multi-factor HJM and PCA approach to risk management of VIX futures
A multi-factor HJM and PCA approach to risk management of VIX futures
PurposePrevious studies have shown the VIX futures tend to roll-down the term structure and converge towards the spot as they grow closer to maturity. The purpose of this paper is ...
An investigation of price discovery and volatility spillovers in India’s foreign exchange market
An investigation of price discovery and volatility spillovers in India’s foreign exchange market
Purpose – The purpose of this paper is to examine the price discovery and volatility spillovers in spot and futures prices of four currencies (namely, USD/INR, EURO...
Empirical Insights into Interest Rate Dynamics Using the HJM Framework
Empirical Insights into Interest Rate Dynamics Using the HJM Framework
Interest rates play a central role in shaping macroeconomic conditions, asset prices, and financial stability, yet accurately modeling their dynamics remains a persistent challenge...
Assessing the functional efficiency of agricultural futures markets in China
Assessing the functional efficiency of agricultural futures markets in China
Purpose The purpose of this paper is to quantitatively analyse the changes in the functional efficiency of the six Chinese agricultural futures markets and compare the relative beh...
Data-driven Warping of Gaussian Processes for Spatial Interpolation of Skewed Data
Data-driven Warping of Gaussian Processes for Spatial Interpolation of Skewed Data
<p>Gaussian processes are a flexible machine learning framework that can be used for spatial interpolation and space-time prediction as well. Gaussian process regress...

Back to Top