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Littérature scientifique sur le sujet « Interest rate risk. Interest rates »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 16 février 2022

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Articles de revues sur le sujet "Interest rate risk. Interest rates"

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Longstaff, Francis A. « Hedging Interest Rate Risk with Options on Average Interest Rates ». Journal of Fixed Income 4, n^o 4 (31 mars 1995) : 37–45. http://dx.doi.org/10.3905/jfi.1995.408126.

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C. Prabhavathi, C. Prabhavathi. « Impact of Interest Rate Risk In Banking System ». Indian Journal of Applied Research 3, n^o 6 (1 octobre 2011) : 314–16. http://dx.doi.org/10.15373/2249555x/june2013/105.

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Hoffmann, Peter, Sam Langfield, Federico Pierobon et Guillaume Vuillemey. « Who Bears Interest Rate Risk ? » Review of Financial Studies 32, n^o 8 (29 novembre 2018) : 2921–54. http://dx.doi.org/10.1093/rfs/hhy113.

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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.

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Engel, Charles. « Exchange Rates, Interest Rates, and the Risk Premium ». American Economic Review 106, n^o 2 (1 février 2016) : 436–74. http://dx.doi.org/10.1257/aer.20121365.

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The uncovered interest parity puzzle concerns the empirical regularity that high interest rate countries tend to have high expected returns on short term deposits. A separate puzzle is that high real interest rate countries tend to have currencies that are stronger than can be accounted for by the path of expected real interest differentials under uncovered interest parity. These two findings have apparently contradictory implications for the relationship of the foreign-exchange risk premium and interest-rate differentials. We document these puzzles, and show that existing models appear unable to account for both. A model that might reconcile the findings is discussed. (JEL E43, F31, G15)

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Chaudron, Raymond F. D. D. « Bank's interest rate risk and profitability in a prolonged environment of low interest rates ». Journal of Banking & ; Finance 89 (avril 2018) : 94–104. http://dx.doi.org/10.1016/j.jbankfin.2018.01.007.

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Blanchard, Olivier. « Public Debt and Low Interest Rates ». American Economic Review 109, n^o 4 (1 avril 2019) : 1197–229. http://dx.doi.org/10.1257/aer.109.4.1197.

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This lecture focuses on the costs of public debt when safe interest rates are low. I develop four main arguments. First, I show that the current US situation, in which safe interest rates are expected to remain below growth rates for a long time, is more the historical norm than the exception. If the future is like the past, this implies that debt rollovers, that is the issuance of debt without a later increase in taxes, may well be feasible. Put bluntly, public debt may have no fiscal cost. Second, even in the absence of fiscal costs, public debt reduces capital accumulation, and may therefore have welfare costs. I show that welfare costs may be smaller than typically assumed. The reason is that the safe rate is the risk-adjusted rate of return to capital. If it is lower than the growth rate, it indicates that the risk-adjusted rate of return to capital is in fact low. The average risky rate however also plays a role. I show how both the average risky rate and the average safe rate determine welfare outcomes. Third, I look at the evidence on the average risky rate, i.e., the average marginal product of capital. While the measured rate of earnings has been and is still quite high, the evidence from asset markets suggests that the marginal product of capital may be lower, with the difference reflecting either mismeasurement of capital or rents. This matters for debt: the lower the marginal product, the lower the welfare cost of debt. Fourth, I discuss a number of arguments against high public debt, and in particular the existence of multiple equilibria where investors believe debt to be risky and, by requiring a risk premium, increase the fiscal burden and make debt effectively more risky. This is a very relevant argument, but it does not have straightforward implications for the appropriate level of debt. My purpose in the lecture is not to argue for more public debt, especially in the current political environment. It is to have a richer discussion of the costs of debt and of fiscal policy than is currently the case. (JEL E22, E23, E43, E62, H63)

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Almeida, Caio Ibsen Rodrigues de, Antonio Marcos Duarte Júnior et Cristiano Augusto Coelho Fernandes. « Interest rate risk measurement in Brazilian sovereign markets ». Estudos Econômicos (São Paulo) 34, n^o 2 (juin 2004) : 321–44. http://dx.doi.org/10.1590/s0101-41612004000200004.

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Fixed income emerging markets are an interesting investment alternative. Measuring market risks is mandatory in order to avoid unexpected huge losses. The most used market risk measure is the Value at Risk, based on the profit-loss probability distribution of the portfolio under consideration. Estimating this probability distribution requires the prior estimation of the probability distribution of term structures of interest rates. An interesting possibility is to estimate term structures using a decomposition of the spread function into a linear combination of Legendre polynomials. Numerical examples from the Brazilian sovereign fixed income international market illustrate the practical use of the methodology.

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Maclachlan, Fiona. « Negative interest rates : a Keynesian perspective ». Review of Keynesian Economics 7, n^o 2 (avril 2019) : 171–84. http://dx.doi.org/10.4337/roke.2019.02.04.

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One of the most surprising recent developments in financial markets has been the emergence of negative yields on long-term debt. This development contradicts the notion of the zero lower bound which, until recently, was taken as a given in monetary policy discussions. In this paper, I look at the phenomenon of negative yields through the lens of Keynes's liquidity-preference theory of interest. I review changes to the financial market environment that have led to a shift in the liquidity of government bonds relative to bank deposits, and with this empirical context in place, I argue Keynes's theory is consistent with the phenomenon of negative bond yields. Finally, I consider Keynes's thought in relation to a negative interest-rate policy (NIRP) and argue that while he would be opposed to a NIRP as a temporary expedient, a mildly negative policy rate fits with his long-run vision for a world with a zero risk-free long-term interest rate.

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Lichtner, Jakob, Marcus Riekeberg, Friedrich Thiessen et Thomas Maurer. « Evaluation of Banks' Interest Rate Risk : An Alternative Approach ». Applied Economics and Finance 5, n^o 6 (29 octobre 2018) : 111. http://dx.doi.org/10.11114/aef.v5i6.3662.

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Interest rate risk is often assessed through parallel yield curve shifts of 100, 200 or 400 basis points. In order to provide a more realistic view, we did simulations based on periods of growing interest rates that actually occurred in the past. These simulations show that non-bank deposits and non-bank loans react more strongly to rising interest rates than certain interbank and security positions. Existing research usually overestimates related risks slightly as it does not take the interest-elastic reactions of non-banks into account. We found three types of effects. Firstly, the direct earnings effect stems from changed market interest rates applied to constant balance sheet positions. This effect is typically measured by straightforward models. Secondly, to increase accuracy, we identified an indirect earnings effect. Customers react to interest rate changes, and therefore balance sheet positions increase or decrease. The size of this effect depends on how strongly they react, i. e. their interest elasticity. Thirdly, the induced earnings effect results from a bank’s reactions in an attempt to compensate for the changed business volume.

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Feltham, Gerald A., et James A. Ohlson. « Residual Earnings Valuation With Risk and Stochastic Interest Rates ». Accounting Review 74, n^o 2 (1 avril 1999) : 165–83. http://dx.doi.org/10.2308/accr.1999.74.2.165.

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This paper provides a general version of the accounting-based valuation model that equates the market value of a firm's equity to book value plus the present value of expected abnormal earnings. Prior theoretical work (e.g., Ohlson 1995; Feltham and Ohlson 1995, 1996) assumes investors are risk neutral and interest rates are nonstochastic and flat. Our more general analysis rests on only two assumptions: no arbitrage in financial markets and clean surplus accounting. These assumptions imply a risk-adjusted formula for the present value of expected abnormal earnings. The risk adjustments consist of certainty-equivalent reductions of expected abnormal earnings. A key issue deals with the capital charge component of abnormal earnings. It is measured by applying the (uncertain) riskless spot interest rate to start-of-period book value. Risks do not affect the rate used in the capital charge, and accounting policies do not affect the formula's constructs. An application of the general formula shows how the classic risk-adjusted expected cash flows model derives as a special case.

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Thèses sur le sujet "Interest rate risk. Interest rates"

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Chui, Hiu-fai Sam. « Evaluation of measures taken by financial institutes under the interest rate swing caused by the currency attack / ». Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19882117.

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Kladívko, Kamil. « Interest Rate Modeling ». Doctoral thesis, Vysoká škola ekonomická v Praze, 2005. http://www.nusl.cz/ntk/nusl-96400.

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I study, develop and implement selected interest rate models. I begin with a simple categorization of interest rate models and with an explanation why interest rate models are useful. I explain and discuss the notion of arbitrage. I use Oldrich Vasicek's seminal model (Vasicek; 1977) to develop the idea of no-arbitrage term structure modeling. I introduce both the partial di erential equation and the risk-neutral approach to zero-coupon bond pricing. I briefly comment on affine term structure models, a general equilibrium term structure model, and HJM framework. I present the Czech Treasury yield curve estimates at a daily frequency from 1999 to the present. I use the parsimonious Nelson-Siegel model (Nelson and Siegel; 1987), for which I suggest a parameter restriction that avoids abrupt changes in parameter estimates and thus allows for the economic interpretation of the model to hold. The Nelson-Siegel model is shown to fit the Czech bond price data well without being over-parameterized. Thus, the model provides an accurate and consistent picture of the Czech Treasury yield curve evolution. The estimated parameters can be used to calculate spot rates and hence par rates, forward rates or discount function for practically any maturity. To my knowledge, consistent time series of spot rates are not available for the Czech economy. I introduce two estimation techniques of the short-rate process. I begin with the maximum likelihood estimator of a square root diff usion. A square root di usion serves as the short rate process in the famous CIR model (Cox, Ingersoll and Ross; 1985b). I develop and analyze two Matlab implementations of the estimation routine and test them on a three-month PRIBOR time series. A square root diff usion is a restricted version of, so called, CKLS di ffusion (Chan, Karolyi, Longsta and Sanders; 1992). I use the CKLS short-rate process to introduce the General Method of Moments as the second estimation technique. I discuss the numerical implementation of this method. I show the importance of the estimator of the GMM weighting matrix and question the famous empirical result about the volatility speci cation of the short-rate process. Finally, I develop a novel yield curve model, which is based on principal component analysis and nonlinear stochastic di erential equations. The model, which is not a no-arbitrage model, can be used in areas, where quantification of interest rate dynamics is needed. Examples, of such areas, are interest rate risk management, or the pro tability and risk evaluation of interest rate contingent claims, or di erent investment strategies. The model is validated by Monte Carlo simulations.

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Jackson, Alexander. « Interest rate and credit risk modelling ». Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400043.

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Zagonov, Maxim. « Financial intermediation and interest rate risk ». Thesis, City University London, 2011. http://openaccess.city.ac.uk/1189/.

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This thesis analyses the link between interest rate risk faced by financial intermediaries in the G-10 countries, their balance sheet composition and national bank regulation. The regulatory authorities both in the US and in Europe increasingly emphasise the issue of bank interest rate exposure. The importance of this topic is also reasserted by recent developments in the monetary environment. The thesis offers three major contributions to the area. First, it empirically investigates the interest rate risk exposure of financial intermediaries across a large international data sample over the 1997 to 2009 time period. The results verify the importance of interest rate exposure for the majority of analysed institutions, with statistical inferences being robust to the choice of interest rate proxy, time period, and the adopted econometric methodology. Second, this research examines the underlying determinants of bank interest rate risk. Both company and market specific information is considered in the analysis. The findings suggest that national regulatory and supervisory characteristics, and notably international diversity among these provisions, are as important as firm-level accounting variables in explaining the interest rate exposures of individual banks. Finally, this work empirically addresses the impact of securitization on bank interest rate risk. In particular, the research questions whether securitization is conducive to the optimal hedging of bank interest rate risk, or is merely a funding source enabling these companies to pursue more profitable but riskier projects. The reported results imply that banks resorting to asset securitization do not, on average, achieve an unambiguous reduction in their exposure to the term structure developments.

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Iqbal, Adam Saeed. « Dynamic interest rate and credit risk models ». Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/6851.

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This thesis studies the pricing of Treasury bonds, the pricing of corporate bonds and the modelling of portfolios of defaultable debt. By drawing on the related literature, Chapter 1 provides economic background and motivation for the study of each of these topics. Chapter 2 studies the use of Gaussian affine dynamic term structure models (GDTSMs) for forming forecasts of Treasury yields and conditional decompositions of the yield curve into expectation and risk premium components. Specifically, it proposes market prices of risk that can generate bond price time series that are consistent with the important empirical result of Cochrane and Piazzesi (2005), that a linear combination of forward rates can forecast excess returns to bonds. Since the GDTSM here falls into the essentially affine class (Duffee (2002)), it is analytically tractable. Chapter 3 studies conditional risk premia in a commonly applied default intensity based model for pricing corporate bonds. Here, I refer to such models as completely affine defaultable dynamic term structure models (DDTSMs). There are two main contributions. First, I show that completely affine DDTSMs imply that the compensation for the risk associated with shocks to default intensities (the credit spread risk premium) is related to the volatility of default intensities. Second, I run regressions to show that this relationship holds in a set of corporate bond data. Finally, Chapter 4 proposes a new dynamic model for default rates in large debt port- folios. The model is similar in principle to Duffie, Saita, and Wang (2007) and Duffie, Eckner, Horel, and Saita (2009) in that the default intensity depends on the observed macroeconomic state and unobserved frailty variables. However, the model is designed for use with more commonly available aggregate, rather than individual, default data. Fitting the model to aggregate charge-off rates in US corporate, real-estate and non- mortgage retail sectors, it is found that interest rates, industrial production and unemployment rates have quantitatively plausible effects on aggregate default rates.

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Marten, Elena Renee. « Interest rate risk in UK defined benefit pension schemes ». Master's thesis, Instituto Superior de Economia e Gestão, 2019. http://hdl.handle.net/10400.5/19721.

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Mestrado em Actuarial Science
Desde a crise financeira de 2008, fundos de pensões começaram a reconhecer, mais do que nunca, a necessidade de se protegerem contra o risco da taxa de juro. Este risco é o mais significativo e volátil para os fundos de pensões pois uma mudança nas condições do mercado pode ter um grande impacto tanto nos ativos como nos passivos do fundo, afetando o seu nível de financiamento. Estratégias de remoção do risco são críticas à luz dos planos de benefícios definidos (BD) estarem cada vez mais insustentáveis. Fundos de pensões estão a considerar várias estratégias de remoção do risco e a reavaliar as suas estratégias de investimento com o objetivo de garantirem, com elevado nível de confiança, os pagamentos aos seus participantes e beneficiários. Este relatório irá discutir como é que planos BD são afetados pelo risco da taxa de juro, como é que esse risco é refletido no relatório da avaliação e que estratégias e ferramentas são usadas para mitigar este risco. Este relatório é o resultado de um de um estágio de cinco meses na Willis Towers Watson. O foco do estágio foi em avaliações de fundos de pensões do Reino Unido em que eu trabalhei nos cálculos do passivo e na análise dos resultados apresentados no relatório da avaliação. O estágio providenciou-me a oportunidade de aplicar o conhecimento atuarial que desenvolvi durante o Mestrado num ambiente empresarial.
Since the financial crisis of 2008, pension schemes began recognizing more than ever that they need to protect against interest rate risk. Interest rate risk is the most significant and volatile risk to pension schemes because a change in market conditions can have a big impact on both the assets and the liabilities of the pension scheme, affecting the funding level of the scheme. De-risking strategies are critical in light of defined benefit pension schemes becoming increasingly unsustainable. Pension schemes are putting many de-risking strategies into place and reevaluating their investment strategies to get to a position to reliably pay their members. This paper discusses how DB pension schemes are affected by interest rate risk, how the risk is reflected in the actuarial valuation report, and what strategies and tools are used to mitigate interest rate risk. This paper is the result of my five-month curricular internship at Willis Towers Watson. The focus of the internship was UK pension scheme valuations in which I worked with the liability calculations and analysis associated with the actuarial valuation report. The internship gave me the opportunity to apply the actuarial knowledge that I developed in the master to a real work environment. In this paper I show an example of one client who uses de-risking strategies against interest rate risk.
info:eu-repo/semantics/publishedVersion

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Williamson, Gareth Alan. « Interest rate risk management : a case study of GBS Mutual Bank ». Thesis, Rhodes University, 2008. http://eprints.ru.ac.za/1585/.

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Berg, Simon, et Victor Elfström. « IRRBB in a Low Interest Rate Environment ». Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273589.

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Financial institutions are exposed to several different types of risk. One of the risks that can have a significant impact is the interest rate risk in the bank book (IRRBB). In 2018, the European Banking Authority (EBA) released a regulation on IRRBB to ensure that institutions make adequate risk calculations. This article proposes an IRRBB model that follows EBA's regulations. Among other things, this framework contains a deterministic stress test of the risk-free yield curve, in addition to this, two different types of stochastic stress tests of the yield curve were made. The results show that the deterministic stress tests give the highest risk, but that the outcomes are considered less likely to occur compared to the outcomes generated by the stochastic models. It is also demonstrated that EBA's proposal for a stress model could be better adapted to the low interest rate environment that we experience now. Furthermore, a discussion is held on the need for a more standardized framework to clarify, both for the institutions themselves and the supervisory authorities, the risks that institutes are exposed to.
Finansiella institutioner är exponerade mot flera olika typer av risker. En av de risker som kan ha en stor påverkan är ränterisk i bankboken (IRRBB). 2018 släppte European Banking Authority (EBA) ett regelverk gällande IRRBB som ska se till att institutioner gör tillräckliga riskberäkningar. Detta papper föreslår en IRRBB modell som följer EBAs regelverk. Detta regelverk innehåller bland annat ett deterministiskt stresstest av den riskfria avkastningskurvan, utöver detta så gjordes två olika typer av stokastiska stresstest av avkastningskurvan. Resultatet visar att de deterministiska stresstesten ger högst riskutslag men att utfallen anses vara mindre sannolika att inträffa jämfört med utfallen som de stokastiska modellera genererade. Det påvisas även att EBAs förslag på stressmodell skulle kunna anpassas bättre mot den lågräntemiljö som vi för tillfället befinner oss i. Vidare förs en diskussion gällande ett behov av ett mer standardiserat ramverk för att tydliggöra, både för institutioner själva och samt övervakande myndigheter, vilka risker institutioner utsätts för.

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Hegre, Håvard. « Interest rate modeling with applications to counterparty risk ». Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9470.

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This thesis studies the estimation of credit exposure arising from a portfolio of interest rate derivatives. The estimation is performed using a Monte Carlo simulation. The results are compared to the exposure obtained under the current exposure method provided by the Bank for International Settlements (BIS). We show that the simulation method provides a much richer set of information for credit risk managers. Also, depending on the current exposure and the nature of the transactions, the BIS method can fail to account for potential exposure. All test portfolios benefit significantly from a netting agreement, but the BIS approach tends to overestimate the risk reduction due to netting. In addition we examine the impact of antithetic variates and different time-discretizations. We find that a discretization based on derivatives' start and maturity dates may reduce simulation time significantly without loosing generality in exposure profiles. Antithetic variates have a small effect.

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Nguyen, Hai Nam. « Contributions to credit risk and interest rate modeling ». Thesis, Evry-Val d'Essonne, 2014. http://www.theses.fr/2013EVRY0038.

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Cette thèse traite de plusieurs sujets en mathématiques financières: risque de crédit, optimisation de portefeuille et modélisation des taux d’intérêts. Le chapitre 1 consiste en trois études dans le domaine du risque de crédit. La plus innovante est la première dans laquel nous construisons un modèle tel que la propriété d’immersion n’est vérifiée sous aucune mesure martingale équivalente. Le chapitre 2 étudie le problème de maximisation de la somme d’une utilité de la richesse terminale et d’une utilité de la consommation. Le chapitre 3 étudie l’évaluation des produits dérivés de taux d’intérêt dans un cadre multicourbe, qui prend en compte la différence entre une courbe de taux sans risque et des courbes de taux Libor de différents tenors
This thesis deals with several topics in mathematical finance: credit risk, portfolio optimization and interest rate modeling. Chapter 1 consists of three studies in the field of credit risk. The most innovative is the first one, where we construct a model such that the immersion property does not hold under any equivalent martingale measure. Chapter 2 studies the problem of maximization of the sum of the utility of the terminal wealth and the utility of the consumption, in a case where a sudden jump in the risk-free interest rate induces market incompleteness. Chapter 3 studies the valuation of Libor interest rate derivatives in a multiple-curve setup, which accounts for the spreads between a risk-free discount curve and Libor curves of different tenors

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Livres sur le sujet "Interest rate risk. Interest rates"

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Managing interest rate risk. Cambridge : Woodhead-Faulkner, 1987.

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Managing interest rate risk. New York : Quorum Books, 1987.

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Brooks, Robert Edwin. Interest rate modeling and the risk premiums in interest rate swaps. Charlottesville, Va., U.S.A : Research Foundation of the Institute of Chartered Financial Analysts, 1997.

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Myers, Cliff. Interest rate risk policy and control. Scottsdale, Ariz. (7272 E. Indian School Rd., Suite 300, Scottsdale 85251) : Sendero Corp., 1989.

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Shin, Kilman. Interest rate, risk, and income distribution. [Taegu, Korea] : Taegu University Press, 1986.

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Matz, Leonard M. Interest rate risk management. Austin, Tex : Sheshunoff, 2006.

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Fernández, Ana Isabel. Interest rate risk analysis of Spanish banks. Bangor (Wales) : Institute of European Finance, University of Wales, Bangor, 1996.

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W, Daniel James, dir. Mathematical Interest Theory. 2^e éd. Washington, DC : Mathematical Association of America, 2008.

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Nawalkha, Sanjay K. Interest Rate Risk Modeling. New York : John Wiley & Sons, Ltd., 2005.

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Duration analysis : Managing interest rate risk. Cambridge, Mass : Ballinger, 1987.

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Chapitres de livres sur le sujet "Interest rate risk. Interest rates"

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Bilan, Andrada, Hans Degryse, Kuchulain O’Flynn et Steven Ongena. « Interest Rate Risk ». Dans Banking and Financial Markets, 31–60. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26844-2_3.

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Willsher, Richard. « Interest Rate Risk ». Dans Export Finance, 143–44. London : Palgrave Macmillan UK, 1995. http://dx.doi.org/10.1007/978-1-349-13980-4_17.

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García, Francisco Javier Población. « Interest Rate Risk ». Dans Financial Risk Management, 101–34. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-41366-2_5.

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Zagst, Rudi. « Risk Measures ». Dans Interest-Rate Management, 227–71. Berlin, Heidelberg : Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-12106-1_6.

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Zagst, Rudi. « Risk Management ». Dans Interest-Rate Management, 273–320. Berlin, Heidelberg : Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-12106-1_7.

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Bingham, Nicholas H., et Rüdiger Kiesel. « Interest Rate Theory ». Dans Risk-Neutral Valuation, 245–76. London : Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-3619-4_8.

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Bingham, Nicholas H., et Rüdiger Kiesel. « Interest Rate Theory ». Dans Risk-Neutral Valuation, 327–74. London : Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3856-3_8.

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Wu, Lixin. « xVA : Definition, Evaluation and Risk Management ». Dans Interest Rate Modeling, 449–71. 2nd edition. | Boca Raton, Florida : CRC Press, [2019] : CRC Press, 2019. http://dx.doi.org/10.1201/9781351227421-15.

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Bascom, Wilbert O. « Managing Interest Rate Risk ». Dans The Economics of Financial Reform in Developing Countries, 116–33. London : Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1007/978-1-349-23372-4_9.

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Chen, Lin. « Managing Interest Rate Risk ». Dans Lecture Notes in Economics and Mathematical Systems, 105–17. Berlin, Heidelberg : Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-46825-4_7.

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Actes de conférences sur le sujet "Interest rate risk. Interest rates"

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Zhou, Yun, et Xiaosong Zheng. « A Study of Commercial Banks Interest Rate Risk Management under Interest Rates Liberalization ». Dans International Conference on Transformations and Innovations in Management (ictim-17). Paris, France : Atlantis Press, 2017. http://dx.doi.org/10.2991/ictim-17.2017.70.

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Huo, Yunlei. « Risk Management of the Bank Interest Rates under the Background of Interest Rate Marketization ». Dans 4th International Conference on Management Science, Education Technology, Arts, Social Science and Economics 2016. Paris, France : Atlantis Press, 2016. http://dx.doi.org/10.2991/msetasse-16.2016.215.

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Yu, Yue, et Liu Lan. « The Impact of Interest Rate Marketization on the Interest Rate Risk of Commercial Banks ». Dans 2019 3rd International Conference on Data Science and Business Analytics (ICDSBA). IEEE, 2019. http://dx.doi.org/10.1109/icdsba48748.2019.00045.

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He, Haixia. « Interest Rate Risk Management of Commercial Bank under the Background of Interest Rate Liberalization ». Dans 2015 International Conference on Economics, Management, Law and Education. Paris, France : Atlantis Press, 2015. http://dx.doi.org/10.2991/emle-15.2015.70.

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Cui, Wei, Min Dai, Steven Kou, Yaquan Zhang, Chengxi Zhang et Xianhao Zhu. « Interest Rate Swap Valuation in the Chinese Market ». Dans Innovations in Insurance, Risk- and Asset Management. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813272569_0013.

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Sheng, Xiaokang. « Research on the Interest Rate Risk Management of Commercial Banks in China under Interest Rate Liberalization ». Dans 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018). Paris, France : Atlantis Press, 2018. http://dx.doi.org/10.2991/icesem-18.2018.33.

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Bayrak, Metin, Kadyrbek Sultakeev et Dastan Aseinov. « Effect of Efficiency on Interest Rate in Microfinance Systems of Some Transition Economies ». Dans International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01566.

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Although the share of microfinance institutions in financial sector of Transition Economies are increasing, the level of interest rates charged by microfinance institutions are very high than normal bank interest rates. Because in these countries the main reasons of high interest rates are operational cost, funding costs, credit risk, inflation and target profit of MFIs. The main purpose of this paper is to analyze the effect of efficiency on interest rate in microfinance system of sampled transition economies. This study uses MIX data that runs from 2000 to 2014 for transition economies countries. The efficiency of microfinance institutions in sampled transition economies measured by applying Stochastic Frontier Approach. The impact of efficiency on interest rate will be analyzed using fixed effects and random effects panel data models.

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Steininger, Bertram, et Melanie Sturm. « Interest Rate Risk, Term Spreads, and the Mortgage Contract Term ». Dans 26th Annual European Real Estate Society Conference. European Real Estate Society, 2019. http://dx.doi.org/10.15396/eres2019_227.

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Long-Zhen Fan. « Modelling risk premium of repo interest rate in the SSE ». Dans Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1527541.

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He, Qizhi. « Value at risk for repo interest rate based on TGARCH ». Dans 2008 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). IEEE, 2008. http://dx.doi.org/10.1109/soli.2008.4686433.

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Rapports d'organisations sur le sujet "Interest rate risk. Interest rates"

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van Binsbergen, Jules, William Diamond et Marco Grotteria. Risk-Free Interest Rates. Cambridge, MA : National Bureau of Economic Research, août 2019. http://dx.doi.org/10.3386/w26138.

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Engel, Charles. The Real Exchange Rate, Real Interest Rates, and the Risk Premium. Cambridge, MA : National Bureau of Economic Research, juin 2011. http://dx.doi.org/10.3386/w17116.

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Engel, Charles. Exchange Rates, Interest Rates, and the Risk Premium. Cambridge, MA : National Bureau of Economic Research, mars 2015. http://dx.doi.org/10.3386/w21042.

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Johri, Alok, Shahed Khan et César Sosa-Padilla. Interest Rate Uncertainty and Sovereign Default Risk. Cambridge, MA : National Bureau of Economic Research, août 2020. http://dx.doi.org/10.3386/w27639.

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Carpenter, Jennifer, Fangzhou Lu et Robert Whitelaw. The Price and Quantity of Interest Rate Risk. Cambridge, MA : National Bureau of Economic Research, février 2021. http://dx.doi.org/10.3386/w28444.

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Drechsler, Itamar, Alexi Savov et Philipp Schnabl. Banking on Deposits : Maturity Transformation without Interest Rate Risk. Cambridge, MA : National Bureau of Economic Research, mai 2018. http://dx.doi.org/10.3386/w24582.

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Landier, Augustin, David Sraer et David Thesmar. Banks' Exposure to Interest Rate Risk and The Transmission of Monetary Policy. Cambridge, MA : National Bureau of Economic Research, février 2013. http://dx.doi.org/10.3386/w18857.

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Darby, Michael. The Internationalization of American Banking and Finance : Structure, Risk, adn World Interest Rates. Cambridge, MA : National Bureau of Economic Research, juillet 1986. http://dx.doi.org/10.3386/w1989.

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Belongia, Michael T., et Mack Ott. The U. S. Monetary Policy Regime, Interest Differentials and Dollar Exchange Rate Risk Premia. Federal Reserve Bank of St. Louis, 1987. http://dx.doi.org/10.20955/wp.1987.009.

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Liu, Jun, Francis Longstaff et Ravit Mandell. The Market Price of Credit Risk : An Empirical Analysis of Interest Rate Swap Spreads. Cambridge, MA : National Bureau of Economic Research, juin 2002. http://dx.doi.org/10.3386/w8990.

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