scholarly journals Stock And Bond Market Linkage In The Empirical Study Of Interest Rate Sensitivity Of Bank Returns

2011 ◽  
Vol 15 (1) ◽  
pp. 47 ◽  
Author(s):  
Suresh C. Srivastava ◽  
Shahid Hamid ◽  
Askar H. Choudhury
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Factor Model ◽  
Methodological Issue ◽  
Arma Model ◽  
Rate Sensitivity ◽  
Market Index ◽  
Two Factors ◽  
Market Linkage ◽  
The Interest Rate

<span>The bank stocks equilibrium pricing relation is the traditional CAPM augmented by a second factor to account for the unexpected changes in the interest rates. This paper examines the methodological issue of constructing an interest rate variable that is orthogonal to the market index. We test a new approach in which the interest rate variable and the market return are treated as the components of a bivariate vector, a suitable vector ARMA model is determined, and then the appropriate whitened residuals are used as the interest rate factor in the two-factor model. Results are compared with the results from other models in which prevailing orthogonalization procedure is used. Our investigation indicates that the robustness of the result depends, to a limited extent, on the procedure employed to orthogonalize the two factors.</span>

scholarly journals COMPARISON OF THE PASS-THROUGH SPEED MODELS OF DIFFERENT MARKETS: AN EMPIRICAL STUDY OF THE MARKETS OF MAINLAND CHINA AND TAIWAN

2020 ◽  
Author(s):  
Chi Ming Ho ◽  
Wu Yih Lin
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Interest Rates ◽  
Mainland China ◽  
Rate Sensitivity ◽  
Interest Rate Spread ◽  
Spread Model ◽  
Pass Through ◽  
Loan Interest Rates ◽  
The Interest Rate

This paper adopted the Boone Indicator, developed by Boone et al. (2008) and Van Leuvensteijn et al. (2011; 2013), to investigate the influence of different pass-through spread models in the competition among banks in emerging markets. With the market share of banks as a dependent variable and marginal cost as an independent variable, this paper probed into the competition among banks regarding the loan market to determine whether competition on the loan interest rates of banks affected the pass-through of monetary policy-related interest rates. After analyzing approximately 5,657 entries of records of the banking industries in Taiwan and mainland China, this paper reached three significant conclusions: 1) the Boone Indicator Model pointed out that, competition in the banking market of mainland China was more intense than that of Taiwan; 2) empirical research based on the Interest Rate Spread Model indicated that the spread of mainland China was lower than that of Taiwan; 3) the Passthrough Speed Model implied that, the interest rate sensitivity of the market of mainland China was higher than that of the Taiwan market. The above results indicate that the influence of monetary policy pass-through on the interest rate of the market in mainland China is faster than in Taiwan.  

scholarly journals Interest Rate Sensitivity of Non-banking Financial Sector in India

2018 ◽  
Vol 43 (3) ◽  
pp. 152-170
Author(s):  
Renu Ghosh ◽  
K. Latha ◽  
Sunita Gupta
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Stock Returns ◽  
Financial Institutions ◽  
Rate Sensitivity ◽  
Interest Rate Risk ◽  
Cross Sectional ◽  
Rate Risk ◽  
The Interest Rate ◽  
The Impact

Executive Summary Before financial liberalization, interest rates were administered and exhibited near-zero volatility. The easing of financial repression in the 1990s generated experiences with interest rate volatility in India. Administrative restrictions on interest rates in India have been steadily eased since 1993. This has led to increased interest rate risk for financial firms. Most research studies have almost exclusively focused on the developed countries especially the banking sector of the United States. The present study attempts to examine the interest rate risk of non-banking financial institutions in India by using the methodology of panel regression and generalized autoregressive conditional heteroscedasticity (GARCH) (1, 1) model for the period from 1 April 1996 to 30 August 2014. The sample used in the study consists of all non-banking financial companies (NBFCs) listed in the S&P CNX 500 index which has continuous availability of share prices over the study period. The study also examines the impact of unanticipated changes in interest rate on stock returns of NBFCs. The Box–Jenkins methodology is applied to calculate unanticipated changes in interest rate variable, autoregressive integrated moving average (ARIMA) (24, 1, 0) model. The time series used in the present study is found to be stationary at the first logarithmic difference. Stock returns exhibit significant exposure with both market returns and interest rate changes. The interest rate sensitivity of large, medium, and small financial institutions is also found to be different. Estimation results for the variance equation in GARCH (1, 1) model suggest that the volatility for individual firm stock returns is time-variant. The ARCH and GARCH coefficients are found to be significant, providing evidence against using traditional model (ordinary least square (OLS)) that assumes time-invariant volatility. This implies that the market has a memory longer than one period and volatility is more sensitive to its own lagged values than it is to new surprises in the market. This study also investigates the possible determinants that account for cross-sectional variation in the interest rate sensitivity of NBFCs. It is found that the size of the firm is the preferred determinant that accounts for cross-sectional variation in the interest rate sensitivity of finance companies. When unanticipated changes in interest rate are used in lieu of actual interest rate changes, not much difference is observed in the significance coefficients. The only significant difference observed is in the magnitude. The impact of actual interest rate changes is more than the impact of unanticipated interest rate changes in absolute terms. This difference in the magnitude of impact arises because actual data incorporate movement in both anticipated and unanticipated components of interest rate. Hence, NBFCs managers and regulators should adopt policies and strategies to avoid the transmission of interest rate risk in their stock returns.

scholarly journals Interest rate stepping: Theory and evidence

2007 ◽  
Vol 1 (1) ◽  
pp. 67-93
Author(s):  
Sylvester Eijffinger ◽  
Eric Schaling ◽  
Willem Verhagen
Keyword(s):  
Interest Rate ◽  
Central Bank ◽  
Interest Rates ◽  
Aggregate Demand ◽  
Rate Sensitivity ◽  
Theoretical Models ◽  
Sufficient Evidence ◽  
Rate Step ◽  
The Interest Rate ◽  
The Cost

A stylised fact of monetary policymaking is that central banks do not immediately respond to new information but seem instead to prefer to wait until sufficient ‘evidence’ to warrant a change has accumulated. However, theoretical models of inflation targeting imply that an optimising central bank should continuously respond to shocks. This article attempts to explain this stylised fact by introducing a small menu cost which is incurred every time the central bank changes the interest rate. It is shown that this produces a relatively large range of inaction because this cost will induce the central bank to take the option value of the status quo into account. In other words, because action is costly, the central bank will have an incentive to wait and see whether or not the economy will move closer to the inflation target of its own accord. Next, the article analyses the implications for the time series properties of interest rates. In particular, we examine the effect of the interest rate sensitivity of aggregate demand, the slope of the Lucas supply function and the variance of demand shocks on the size of the interest rate step and the expected length of the time period till the next interest rate step. Finally, we analyse the effect of menu costs on inflationary expectations. In this respect we find that the economy will suffer from an inflationary bias if the cost of raising the interest rate exceeds the cost of lowering it.

DETERMINAN INFLASI DI INDONESIA PERIODE 1980-2015

2016 ◽  
Vol 21 (1) ◽  
pp. 1-7
Author(s):  
Risna Risna
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Government Spending ◽  
Positive Impact ◽  
Secondary Data ◽  
Quantitative Approach ◽  
State Spending ◽  
Factors Affecting ◽  
The Interest Rate

This study aims to determine the effect of government spending, the money supply, the interest rate of Bank Indonesia against inflation.This study uses secondary data. Secondary data were obtained directly from the Central Bureau of Statistics and Bank Indonesia. It can be said that there are factors affecting inflationas government spending, money supply, and interest rates BI. The reseach uses a quantitative approach to methods of e-views in the data. The results of analysis of three variables show that state spending significantand positive impact on inflationin Indonesia, the money supply significantand negative to inflationin Indonesia, BI rate a significantand positive impact on inflation in Indonesia

scholarly journals Risk Management for Bonds with Embedded Options

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 790
Author(s):  
Antonio Díaz ◽  
Marta Tolentino
Keyword(s):  
Risk Management ◽  
Interest Rate ◽  
Interest Rates ◽  
Interest Rate Risk ◽  
Interest Rate Models ◽  
Management Measures ◽  
Interest Rate Risk Management ◽  
Embedded Options ◽  
The Interest Rate ◽  
Interest Rate Change

This paper examines the behavior of the interest rate risk management measures for bonds with embedded options and studies factors it depends on. The contingent option exercise implies that both the pricing and the risk management of bonds requires modelling future interest rates. We use the Ho and Lee (HL) and Black, Derman, and Toy (BDT) consistent interest rate models. In addition, specific interest rate measures that consider the contingent cash-flow structure of these coupon-bearing bonds must be computed. In our empirical analysis, we obtained evidence that effective duration and effective convexity depend primarily on the level of the forward interest rate and volatility. In addition, the higher the interest rate change and the lower the volatility, the greater the differences in pricing of these bonds when using the HL or BDT models.

scholarly journals The Impact of Interest Rate Ceilings on Microfinance Industry

2015 ◽  
Vol 2 (2) ◽  
pp. 10
Author(s):  
Ali Saleh Alshebami ◽  
D. M. Khandare
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Low Income ◽  
Secondary Data ◽  
Research Subject ◽  
Access To Credit ◽  
The Poor ◽  
Good Intention ◽  
The Interest Rate ◽  
The Impact

<p>Imposing ceilings on the interest rate has recently become one of the new hottest topics in microfinance industry; various debates have been discussing this issue to know the effect of interest rate ceilings on the supply of credit in particular and on microfinance industry in general. However in spite of the good intention behind these ceilings, there was no absolute result stating that ceilings have really contributed to the improvement or protection of the poor clients, indeed, these ceilings have hurt those low income people instead of helping them, due to these ceilings most of MFIs left the market or reduced their scale due to the inability to continue operating with low interest rate leaving the very poor clients without access to credit. Thus, the purpose of this paper is to review the impact of imposing such ceilings on the interest rates and to find out what alterative solutions can be employed as substitutes for them. This paper is entirely based on the secondary data collected from various records related to microfinance such as microfinance books, official websites and reports, published papers, and other sources related to the research subject.</p>

scholarly journals Pengaruh Tingkat Suku Bunga, Inflasi Dan Nilai Kurs Terhadap Harga Saham Perusahaan Perhotelan Yang Terdaftar Di Bursa Efek Indonesia Per Triwulannya Periode 2016-2018

2021 ◽  
Vol 4 (2) ◽  
pp. 871-877
Author(s):  
Rahmat Dewa Bagas Nugraha ◽  
H.M Nursito
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Exchange Rates ◽  
Interest Rates ◽  
Quantitative Study ◽  
Stock Prices ◽  
Stock Exchange ◽  
Secondary Data ◽  
Ratio Analysis ◽  
The Interest Rate

This study aims to determine and analyze the factors that affect stock prices through appropriate ratio analysis. As for the ratio of interest rates, inflation and exchange rates. Researchers want to know and analyze the effect partially or simultaneously between interest rates, inflation, and exchange rates on stock prices. This research is a quantitative study using secondary data. The object of this research is hotel companies listed on the Indonesia Stock Exchange for the period 2016-2018. The sample used in this study were 3 hotel with certain characteristics. The results of research simultaneously using the F test show that there is no influence between interest rates, inflation and exchange rates on stock prices because the calculated value is smaller than the table. Partially with the t test it can be concluded that there is no influence between interest rates on stock prices because the tcount value in the interest rate variable is smaller than the t table. Likewise, the t calculation of inflation and the exchange rate is smaller than the t table, so that there is no partial effect of the two variables on stock prices. Keywords: Stock Prices, Interest Rates, Inflation and Exchange Rates

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

INTEREST RATE TARGETS AND SPECULATIVE ATTACKS ON PUBLIC DEBT

2018 ◽  
Vol 23 (07) ◽  
pp. 2698-2716 ◽  
Author(s):  
Pompeo Della Posta
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Euro Area ◽  
Public Debt ◽  
Nonlinear Behavior ◽  
Lender Of Last Resort ◽  
Speculative Attacks ◽  
The Interest Rate ◽  
Exchange Rate Target Zones ◽  
Primary Surplus

The application of exchange rate target zones modeling to interest rates allows interpreting the puzzles that emerged with the public debt euro area crisis, namely the nonlinear behavior of the interest rates and the fact that some stand-alone countries, not belonging to the euro area, have not been subject to speculative attacks in spite of equally large public debt-to-gross domestic product (GDP) ratios. As a matter of fact, this model shows that in the case of a noncredible upper threshold for the interest rate (that may be due to both the lack of room for increasing further the required government primary surplus and/or the absence of a monetary authority acting as a lender of last resort), the resulting public debt unsustainability determines an interest rate nonlinearity and makes the crisis possible for public debt levels that would be stable in the presence of a credible interest rate target.

scholarly journals Safe Assets, Liquidity, and Monetary Policy

2017 ◽  
Vol 9 (2) ◽  
pp. 182-227 ◽  
Author(s):  
Pierpaolo Benigno ◽  
Salvatore Nisticò
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Interest Rates ◽  
Risk Sharing ◽  
Balance Sheet ◽  
Multiple Assets ◽  
Interest Rate Spreads ◽  
The Interest Rate ◽  
Liquidity Shock ◽  
Deep Recession

This paper studies monetary policy in models where multiple assets have different liquidity properties: safe and “pseudo-safe” assets coexist. A shock worsening the liquidity properties of the pseudo-safe assets raises interest rate spreads and can cause a deep recession-cum-deflation. Expanding the central bank’s balance sheet fills the shortage of safe assets and counteracts the recession. Lowering the interest rate on reserves insulates market interest rates from the liquidity shock and improves risk sharing between borrowers and savers. (JEL E31, E32, E43, E44, E52)

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