A Two-Factor Model for Low Interest Rate Regimes

نویسندگان

  • Shane Miller
  • Eckhard Platen
چکیده

This paper derives a two factor model for the term structure of interest rates that segments the yield curve in a natural way. The first factor involves modelling a non-negative short rate process that primarily determines the early part of the yield curve and is obtained as a truncated Gaussian short rate. The second factor mainly influences the later part of the yield curve via the market index. The market index proxies the growth optimal portfolio (GOP) and is modelled as a squared Bessel process of dimension four. Although this setup can be applied to any interest rate environment, this study focuses on the difficult but important case where the short rate stays close to zero for a prolonged period of time. For the proposed model, an equivalent risk neutral martingale measure is neither possible nor required. Hence we use the benchmark approach where the GOP is chosen as numeraire. Fair derivative prices are then calculated via conditional expectations under the real world probability measure. Using this methodology we derive pricing functions for zero coupon bonds and options on zero coupon bonds. The proposed model naturally generates yield curve shapes commonly observed in the market. More importantly, the model replicates the key features of the interest rate cap market for economies with low interest rate regimes. In particular, the implied volatility term structure displays a consistent downward slope from extremely high levels of volatility together with a distinct negative skew. 1991 Mathematics Subject Classification: primary 90A12; secondary 60G30, 62P20. JEL Classification: G10, G13

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ارزیابی رژیم‌های مختلف ارزی در یک اقتصاد باز کوچک

This research is an attempt to study about the efficiency of different exchange-rate regimes based on reduces in loss function of central bank in a form of Dynamic Stochastic General Equilibrium (DSGE), considering an oil exporting economy such as Iran's Economy. Thus, after adjusting a pattern, considering the structural characteristic of Iran’s Economy as oil exporting country and obtaining m...

متن کامل

The Threshold Impact of Fiscal and Monetary Policies on Inflation: Threshold Model Approach

The aim of this study is to examine the nonlinear effects of fiscal and monetary policies on inflation during 1990:3 to 2013:1 based on threshold model. First lag of the liquidity growth is recognized as threshold variable with threshold value estimated at 6.37 percent. In low liquidity growth, the results indicate that inflation expectations and the lagged liquidity growth are the most importa...

متن کامل

Policy Time-Inconsistency: A Comparison of Managed Floating Exchange Rate and Controlled Exchange Rate Regimes

Some empirical and theoretical studies have emphasized on fixed exchange rate regime in controlling time inconsistency, while others consider the role of target zone regime as an important factor. Thus there is no general consensus to decide which exchange rate regime may bring about less time-inconsistency. The main purpose of this study is to investigate policy time-inconsistency in exchange ...

متن کامل

The Impact of Monetary and Exchange Policies on the Country’s Trade balance Fluctuation with the Approach of Dynamic Stochastic General Equilibrium (DSGE) models

This paper uses the framework of new Keynesian school and the literature of the Dynamic Stochastic General Equilibrium (DSGE) model to build a general model that can be estimated for Iran economy. By simulating this model, the effects of the implementation of monetary and foreign exchange policies through policy instruments including bank interest rate, central bank international reserves and t...

متن کامل

Foreign Exchange Rate Pricing at the Future Contract (Case of I.R. of Iran)

The RER which is theoretically influenced by the real interest rate differential (RRE) and currency excess return (CER), is statistically examined during 1990-2016. Accordingly, the stationarity of RER as null hypothesis is not approved in the Iranian economy. Therefore, the TVAR method is examined to analyze the nonstationary RER sample to two sub-periods stationary process which are both stat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004