scholarly journals Steadiness of expectation theory measured by swaption curve

2021 ◽  
Vol 3 (2.1) ◽  
pp. 6-26
Author(s):  
Antonio Ruben Santillan Pashma
Keyword(s):  
Interest Rate ◽  
Financial Crisis ◽  
Interest Rates ◽  
Banking Sector ◽  
Fixed Income ◽  
Short Term ◽  
High Volatility ◽  
Expectation Theory ◽  
One Year ◽  
Premium Risk

The financial crisis that broke out in mid-2007 has spread in the existing financial system with great instability favoring the devaluation of currencies with the fall in market interest rates. This has caused potential investors to become more risk-averse and therefore, look for financial products, although lower profitability, also poses less risk. Following this line, it is the Fixed Income assets that have acquired greater prominence in these times of crisis.  This article highlights the strength of the expectation theory in different tranches, using EURIBOR rate to determine implicit forwards, and estimate the price of a one-year swap contract with 3 months of maturity,  and comparing in every moment with the real prices of swap as a benchmark. SWAP is the bigger derivative inside of the group of Fixed Income Assets.  After the quantitative analyst, it has been observed how the theory prevails of sceneries of low volatility but falls on sceneries when the volatility starts to increase. Introduction.  One of the basic assumptions about financial theory is talking about the expectations theory. Since the middle of the eighties, this theory has been used as the unbiased estimator to calculate the swap interest rate in the base of the spot bank interest rate. Aim. Quantitativa analyst of the steadiness of expectations theory in differents economical cycles, using the European Central bank as the source to get hold of the EURIBOR spot rates for 3 months, 6 months, 9 months, and 12months from 2004 to 2016. Results. During the periods before the crisis 2007, the prices of the IRSWAP are almost adjusted between the market and what the financial theory says. The situation starts to change after the financial crisis when the volatility of the market starts to increase due to the instability of the banking sector and traders started with speculations strategies forgetting the aim of hedging, operating, new positions the majority in the short term. Conclusion. Whether for speculative reason or interventions actions of the monetary authority, the theory e “EXPECTATIONS THEORY”, it is not an efficient predictor with out using a premium risk, during the periods of high volatility.

scholarly journals Time Series Dynamics of Short Term Interest Rates in Turkey

2021 ◽  
Vol 11 (1) ◽  
pp. 92
Author(s):  
Emel Siklar ◽  
Ilyas Siklar
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Financial Models ◽  
Frequency Data ◽  
Short Term ◽  
High Volatility ◽  
Rate Functions ◽  
Repo Rate ◽  
The Interest Rate ◽  
Weekly Frequency

Interest rate functions as the cornerstone for the heavy majority of the financial models. The high volatility in interest rates in the financial crisis of 2008/09 and resulting increased uncertainty led many researchers to focus on modeling the dynamics of changes in short term interest rates. This study aims to analyze the volatility of short-term interest rate in Turkey in terms of overnight repo rate and to forecast this rate for the next six months by modelling this volatility. For this purpose, the ARCH family models like ARCH, GARCH and EGARCH were preferred to use since they are the most common methods in the literature. Using the weekly frequency data for the period of January 2002 - January 2021, the model that best describes the stochastic volatility in the data was found to be the GARCH (1.1) model. As a result of the fact that the in-sample estimates were found sufficient, the interest rate estimates for the next 6 months were realized.

scholarly journals CANDIDE et la monnaie

2009 ◽  
Vol 52 (1) ◽  
pp. 75-103
Author(s):  
Jean-Pierre Aubry ◽  
Pierre Duguay
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Term Structure ◽  
Structural Equations ◽  
Reduced Form ◽  
Real Sector ◽  
Short Term ◽  
The Real ◽  
Structure Equations

Abstract In this paper we deal with the financial sector of CANDIDE 1.1. We are concerned with the determination of the short-term interest rate, the term structure equations, and the channels through which monetary policy influences the real sector. The short-term rate is determined by a straightforward application of Keynesian liquidity preference theory. A serious problem arises from the directly estimated reduced form equation, which implies that the demand for high powered money, but not the demand for actual deposits, is a stable function of income and interest rates. The structural equations imply the opposite. In the term structure equations, allowance is made for the smaller variance of the long-term rates, but insufficient explanation is given for their sharper upward trend. This leads to an overstatement of the significance of the U.S. long-term rate that must perform the explanatory role. Moreover a strong structural hierarchy, by which the long Canada rate wags the industrial rate, is imposed without prior testing. In CANDIDE two channels of monetary influence are recognized: the costs of capital and the availability of credit. They affect the business fixed investment and housing sectors. The potential of the personal consumption sector is not recognized, the wealth and real balance effects are bypassed, the credit availability proxy is incorrect, the interest rate used in the real sector is nominal rather than real, and the specification of the housing sector is dubious.

Determinants of Treasury-LIBOR Swap Spreads

2005 ◽  
Vol 08 (04) ◽  
pp. 687-705 ◽  
Author(s):  
D. K. Malhotra ◽  
Vivek Bhargava ◽  
Mukesh Chaudhry
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Default Risk ◽  
Yield Curve ◽  
Short Term ◽  
Long Run ◽  
Interest Rate Volatility ◽  
Short Run ◽  
Using Data ◽  
Swap Spreads

Using data from the Treasury versus London Interbank Offer Swap Rates (LIBOR) for October 1987 to June 1998, this paper examines the determinants of swap spreads in the Treasury-LIBOR interest rate swap market. This study hypothesizes Treasury-LIBOR swap spreads as a function of the Treasury rate of comparable maturity, the slope of the yield curve, the volatility of short-term interest rates, a proxy for default risk, and liquidity in the swap market. The study finds that, in the long-run, swap spreads are negatively related to the yield curve slope and liquidity in the swap market. We also find that swap spreads are positively related to the short-term interest rate volatility. In the short-run, swap market's response to higher default risk seems to be higher spread between the bid and offer rates.

scholarly journals Who Bears Interest Rate Risk?

2018 ◽  
Vol 32 (8) ◽  
pp. 2921-2954 ◽  
Author(s):  
Peter Hoffmann ◽  
Sam Langfield ◽  
Federico Pierobon ◽  
Guillaume Vuillemey
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Banking Sector ◽  
Balance Sheet ◽  
Interest Rate Risk ◽  
Cross Sectional ◽  
Net Worth ◽  
Loan Rate ◽  
Rate Risk ◽  
European Banking

Abstract We study the allocation of interest rate risk within the European banking sector using novel data. Banks’ exposure to interest rate risk is small on aggregate, but heterogeneous in the cross-section. Contrary to conventional wisdom, net worth is increasing in interest rates for approximately half of the institutions in our sample. Cross-sectional variation in banks’ exposures is driven by cross-country differences in loan-rate fixation conventions for mortgages. Banks use derivatives to partially hedge on-balance-sheet exposures. Residual exposures imply that changes in interest rates have redistributive effects within the banking sector. Received October 31, 2017; editorial decision August 30, 2018 by Editor Philip Strahan. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

scholarly journals Does the Interest Rate Form Business Cycle?

2019 ◽  
Vol 4 (1) ◽  
pp. 29-34
Author(s):  
Bijan Bidabad ◽  
Abul Hassan
Keyword(s):  
Interest Rate ◽  
Business Cycle ◽  
Interest Rates ◽  
Banking System ◽  
Real Economy ◽  
Short Term ◽  
The Usa ◽  
Rate Form ◽  
The Interest Rate

Dynamic structural behavior of depositor, bank and borrower and the role of banks in forming business cycle are investigated. We test the hypothesis that does banks behavior make oscillations in the economy through the interest rate. By dichotomizing banking activities into two markets of deposit and loan, we show that these two markets have non-synchronized structures, and this is why the money sector fluctuation starts. As a result, the fluctuation is transmitted to the real economy through saving and investment functions. Empirical results assert that in the USA, the banking system creates fluctuations in the money sector and real economy as well through short-term interest rates

Asset-Liability Management

2019 ◽  
pp. 75-95
Author(s):  
Hyun Song Shin
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Pension Funds ◽  
Fixed Income ◽  
Asset Liability Management ◽  
Life Insurers ◽  
Liability Management ◽  
Demand Curves

Life insurers and pension funds have obligations to policy holders and beneficiaries and hold fixed income assets to meet those obligations. Asset-liability management matches the duration of assets to duration of liabilities to minimise risks from interest rate changes. However, this rule can lead to upward sloping demand curves for fixed income assets and can lead to overshooting of long-term interest rates.

Derivatives Markets

2019 ◽  
pp. 151-166
Author(s):  
Halil Kiymaz ◽  
Koray D. Simsek
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Credit Derivatives ◽  
Forward Rate ◽  
Fixed Income ◽  
Over The Counter ◽  
Interest Rate Options ◽  
Interest Rate Derivatives ◽  
Fixed Income Derivatives ◽  
Derivatives Markets

Interest rate derivatives markets have enjoyed substantial growth since the late 1990s. This chapter discusses the development of these markets since 2000 and introduces the most popular interest rate derivative instruments. Although forward rate agreements and interest rate swaps are important examples of over-the-counter (OTC) products, futures on interest rates and bonds are innovations of organized exchanges. Both OTC interest rate options and exchange-traded options on interest rate futures are discussed to illustrate an overlapping area of both types of derivatives markets. Participants in debt markets are also exposed to both interest rate and credit risk. To mitigate the latter risk, the OTC fixed income derivatives markets provide credit default swaps (CDSs). As credit derivatives are also a subset of fixed income derivatives, CDSs are discussed further.

Interest Rates and Business Returns

2007 ◽  
Vol 201 ◽  
pp. 4-7
Author(s):  
Martin Weale
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Rate Increase ◽  
Yield Curve ◽  
Current Level ◽  
Short Term ◽  
The Past ◽  
Financial Options ◽  
Very High ◽  
Business Returns

The July interest rate increase has taken the Bank of England's Base Rate to the highest value for six years. In figure 1 we show the forward estimates for the nominal short-term interest rate taken from the Bank of England's yield curve tables for both government debt and liabilities of commercial banks. These are in effect market forecasts of the short-term rate produced in the past. The graph shows that the market has been taken somewhat by surprise by rising short-term interest rates. Two years ago the market was forecasting a rate of around 4 per cent per annum for July 2007. Nor were the probabilities the market gave to an interest rate of 5.75 per cent per annum very high. Twelve months ago the market in financial options implied that the chance of the rate exceeding 5.66 per cent per annum was only 15 per cent. Even in January of this year the chance of it reaching its current level or higher was put at less than 25 per cent. The National Institute cannot claim a substantially better record at forecasting interest rates. We normally use market expectations, as calculated from the yield curve, to provide exogenous forecasts as input into our model in the short term.

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