Dissertations / Theses on the topic 'Interest rate risk Australia'
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Hotham, John Patrick Banking & Finance Australian School of Business UNSW. "Management of interest rate risk in the banking book of Australian credit unions and building societies." Awarded by:University of New South Wales. Banking & Finance, 2008. http://handle.unsw.edu.au/1959.4/40810.
Full textJackson, Alexander. "Interest rate and credit risk modelling." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400043.
Full textZagonov, Maxim. "Financial intermediation and interest rate risk." Thesis, City University London, 2011. http://openaccess.city.ac.uk/1189/.
Full textIqbal, Adam Saeed. "Dynamic interest rate and credit risk models." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/6851.
Full textKladívko, Kamil. "Interest Rate Modeling." Doctoral thesis, Vysoká škola ekonomická v Praze, 2005. http://www.nusl.cz/ntk/nusl-96400.
Full textHegre, 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.
Full textThis 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.
Nguyen, Hai Nam. "Contributions to credit risk and interest rate modeling." Thesis, Evry-Val d'Essonne, 2014. http://www.theses.fr/2013EVRY0038.
Full textThis 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
Klaassen, Pieter. "Stochastic programming models for interest-rate risk management." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/11913.
Full textLu, Yang, and Kevin Visvanathar. "Demand Deposits : Valuation and Interest Rate Risk Management." Thesis, KTH, Entreprenörskap och Innovation, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169463.
Full textTill foljd av nanskrisen 2008 har regulatoriska myndigheter infort mer strikta regelverk for att framja en sund nansiell riskhantering hos banker. Trots avistakontons okade betydelse for banker har inga regulatoriska riktlinjer introducerats for hur den associerade ranterisken ska hanteras ur ett riskperspektiv. Avistakonton ar forknippade med tva faktorer som forsvarar utvarderingen av dess ranterisk med traditionella ranteriskmetoder: de saknar en forutbestamd loptid och avistarantan kan andras nar sa banken onskar. Med hansyn till detta gap fokuserar denna studie pa att empiriskt analysera tva modelleringsramverk for att vardera och mata ranterisken hos avistakonton: Economic Value Model Framework (EVM) and Replicating Portfolio Model Framework (RPM). Analysen genomfors genom att initialt ta fram modeller for hur avistarantan och volymen pa avistakonton utvecklas over tid med hjalp av ett modernt och unikt dataset fran en av Sveriges storsta kommersiella banker. Studiens resultat indikerar att modellerna for avistarantan och avistavolymen inte forbattras nar makroekonomiska variabler ar inkluderade. Detta ar i kontrast till vad tidigare studier har oreslagit. Vidare visar studiens resultat att det modellerna skiljer sig nar avistakontona ar egmenterade pa en mer granular niva. Slutligen pavisar resultatet att EVM producerar ranteriskestimat som ar mindre kansliga for antanganden an RPM.
Berg, Simon, and 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.
Full textFinansiella 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.
Staikouras, Sotiris K. "Interest rate volatility and the risk of financial institutions." Thesis, City University London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287410.
Full textMarten, 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.
Full textDesde 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.
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Brodin, Therese, and Frida Harrysson. "Interest rate swap eller inte? : En studie om de största svenska företagens användning av interest rate swaps." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-27845.
Full textPurpose: The purpose is to investigate the largest Swedish companies utilization of interest rate swap (afterwards referred to as IRS), as well as variations in the underlying factors between companies who use IRS and companies who do not. Methodology: The study applied an empirical investigation about the non-financial companies noted on Nasdaq OMX Stockholm Large Cap for the end of year 2012 and year 2013. By their annual reports, companies where divided into four categories based on their usage of IRS. Five earlier factors for the use of IRS were compiled per category and were then compared between the categories. Findings: 29 out of the 40 largest listed companies used IRS 2012, and 29 out of 42 companies 2013. The companies who used variable IRS were significantly larger than the ones who didn't use IRS. Companies who used fixed, and both types of IRS year 2013, had a higher proportion of short-term loans compared to the companies which didn't use IRS. Measured differences between the categories for the remaining three factors; proportion of long-term loans, duration on the companies loans as well as their expected distress costs was not significant which implicates that the measured differences could not be assigned to Swedish corporations. Conclusions: Over two thirds of the investigated companies used IRS. The size of the companies that used IRS was a factor which differed between companies who used IRS and the companies that didn't. The proportion of short-term loans showed a significant disparity for one of the investigated years indicated that the companies who used IRS have a larger proportion of short-term loans than the ones who don't. Differences in the proportion of long-term loans, duration on loans and expected distress costs between the categories could not be assigned to Swedish corporations.
Xie, Yan Alice Wu Chunchi. "Immunization of interest rate risk and pricing of default risk of bond portfolios." Related Electronic Resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2003. http://wwwlib.umi.com/cr/syr/main.
Full textRuprecht, Benedikt [Verfasser], and Marco [Akademischer Betreuer] Wilkens. "Banks' Interest Rate Risk: Pricing and Risk Management / Benedikt Ruprecht. Betreuer: Marco Wilkens." Augsburg : Universität Augsburg, 2013. http://d-nb.info/1077703104/34.
Full textBussel, Petrus Johannes Michaël van. "Valuation and interest rate risk of mortgages in the Netherlands." Maastricht : Maastricht : Universiteit Maastricht ; University Library, Maastricht University [Host], 1998. http://arno.unimaas.nl/show.cgi?fid=6060.
Full textKang, Zhuang. "Illiquid Derivative Pricing and Equity Valuation under Interest Rate Risk." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282168157.
Full textLiu, Guanting. "P2P LENDING MARKET: DETERMINANTS OF INTEREST RATE AND DEFAULT RISK." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44052.
Full textDaccache, Rudy. "Interest Rate and Liquidity Risk Management for Lebanese Commercial Banks." Thesis, Lyon 1, 2014. http://www.theses.fr/2014LYO10100/document.
Full textThe aim of this thesis is to provide Bank Audi with econometric tools for sake of a more robust risk management. Lebanese businesses today are faced with greater challenges than ever before, both economical and political, and there is a question about the future of the middle east region after the Syrian civil war. Thus, Lebanese commercial banks face greater complications in the management of interest rate and liquidity risk. The first part of this thesis discusses interest rate risk management and measurement in the Lebanese market. First, we seek to build the Lebanese term structure. This market is known by its illiquidity, yields for a given maturity make a large jump with a small impact on other yields even if close to this maturity. Therefore, we face challenges in calibrating existing yield curve models. For this matter, we get historical prices of bonds issued by the Lebanese government, and denominated in Local currency and in US dollar. A new estimation method has been added to Nelson Siegel and Svensson model, we call it “Correlation Constraint Approach”. Model parameters can be interpreted from economical perspective which will be helpful in forecasting yield curve movements based on economist’s opinion. On the second hand, traditional customer deposits are the main funding source of Lebanese commercial banks (80-85% of liabilities). Although they are contractually short term (mainly one month) paying fixed interest rates, these deposits are historically known to be a stable source of funding and therefore exhibit a sticky behavior to changes in market interest rates. We develop an error correction model showing a long-run equilibrium between Libor and Lebanese banking sector average rate offered on USD deposits. Results make it possible to determine the behavioral duration (repricing date) of customer deposits when market interest rates fluctuate. Therefore, the behavioral duration of liabilities will be higher than the contractual one which will lower the duration gap between assets and liabilities and thus the negative impact of positive interest rate shocks. After understanding interest risk profile of customers’ deposits, we start the second part by determining their behavioral liquidation maturity. We get Bank Audi’s historical deposits outstanding balances filtered into the following categories: currency, account typology and residency of depositor. We develop an error correction model for each filter. Results show relationship between deposits behaviors, the coincident indicator and spreads between offered rates in the Lebanese market. The model will lead to assess behavioral liquidation maturity to deposits and understand their liquidity risk profile. This will be helpful for the funding liquidity risk management at Bank Audi. Large financial institutions are supposed to hold large positions of given assets. The last topic is related to market liquidity risk management. We suppose an investor holds a large position of a given asset. Then at time 0, a severe shock causes a large depreciation of the asset value and makes the investor decides to liquidate the portfolio as soon as possible with limited losses. Stock returns are modeled by GARCH process which has tail behaviors after large variation at time 0. Trading on liquid and illiquid markets, we provide the trader with best exit trading strategy maximizing his utility function, finally we incorporate into the model an expert opinion which will help the investor in taking the decision
Liu, Cheng. "Utility-based Futures Contract Pricing under Stochastic Interest Rate, Appreciation Rate and Dividend Yield." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1283524846.
Full textMurase, Takeo. "Interest Rate Risk – Using Benchmark Shifts in a Multi Hierarchy Paradigm." Thesis, KTH, Matematisk statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-129293.
Full textYueh, Meng-Lan. "Numerical lattice methods for implementing interest rate and credit risk models." Thesis, University of Warwick, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252479.
Full textWilliamson, Gareth Alan. "Interest rate risk management : a case study of GBS Mutual Bank." Thesis, Rhodes University, 2008. http://eprints.ru.ac.za/1585/.
Full textChui, 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.
Full textGyllenberg, Felix, and Åström Leonard Rudolf. "INTEREST RATE RISK : A comparative study aimed at finding the most crucial shift in interest rate curves for a life insurance company." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160248.
Full textO???Brien, Peter Banking & Finance Australian School of Business UNSW. "Term structure modelling and the dynamics of Australian interest rates." Awarded by:University of New South Wales. School of Banking and Finance, 2006. http://handle.unsw.edu.au/1959.4/28283.
Full textHambouri, Zaphiro. "Risk and asset/liability management of fixed income portfolios." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312022.
Full textSlinko, Irina. "Essays in option pricing and interest rate models." Doctoral thesis, Stockholm : Economic Research Institute, Stockholm School of Economics [Ekonomiska forskningsinstitutet vid Handelshögskolan i Stockholm] (EFI), 2006. http://www2.hhs.se/EFI/summary/706.htm.
Full textAbiola, Isaac Abiodun. "Modeling credit risk spread and interest rate volatility in the Eurodollar market." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25214.pdf.
Full textDavis, Caleb M. "U.S. Monetary Policy and Emerging Market Interest Rate Spreads: Explaining the Risk." Scholarship @ Claremont, 2011. http://scholarship.claremont.edu/cmc_theses/294.
Full textMACHADO, SERGIO JURANDYR. "INTEREST RATE RISK MANAGEMENT IN PENSION FUNDS: IMMUNIZATION S LIMITS AND POSSIBILITIES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9155@1.
Full textO termo imunização denota a construção de uma carteira de títulos de forma a torná-la imune a variações nas taxas de juros. No caso das entidades de previdência complementar, o objetivo da imunização é distribuir os recebimentos intermediários e finais dos ativos de acordo com o fluxo de pagamentos dos benefícios. Em geral, quanto maior a classe de alterações na estrutura a termo das taxas de juros (ETTJ), mais restritivo se torna o modelo. Embora exista uma vasta literatura sobre o aspecto estatístico e sobre o significado econômico dos modelos de imunização, esse trabalho inova ao prover uma análise detalhada do desempenho comparado dos modelos, sob três perspectivas complementares: o método escolhido, a dimensionalidade e, ainda, o horizonte de investimento. Entretanto, a decisão final do gestor não está restrita à escolha do método de imunização, como também ao horizonte de investimento a ser imunizado, uma vez que outros instrumentos financeiros podem garantir tanto a solvência econômica quanto a financeira. Os limites não operacionais à imunização são analisados por meio da comparação das medianas do relativo de riqueza e da probabilidade de exaustão da carteira. A análise permite concluir que os modelos de imunização tradicional são mais eficientes, especialmente no médio e longo prazo, que os modelos multidimensionais de gestão do risco de taxa de juros. Ademais, demonstra-se que não existem limites naturais à imunização, quando aplicada ao mercado previdenciário brasileiro por um período igual ou inferior a 10 anos.
Immunization is defined as the investment in assets in such a way that the fixed income portfolio is immune to a change in interest rates. In the special case of pension funds, immunization seeks the distribution of the cash inflows in accordance with the outflows represented by the fund´s liabilities. The article compares distinct alternative methods of immunization against the traditional duration-matching strategy. All portfolios were obtained as a result of mathematical programming problems, where the choice of the immunization strategy led to the restrictions imposed on the evolution of the term structure of interest rates. Despite the intensive research related to this subject, there are some gaps to be filled yet, especially those concerned with the investment horizon. That is exactly the main objective of this thesis. The work provides the basis for selecting the most appropriate method for immunization and also demonstrates the superiority of the traditional duration-matching strategy, especially in the medium and long run. Moreover, it is demonstrated that there is no limit other than operational to the immunization process concerning Brazilian markets for investment horizons of less than 10 years.
Howard, Scott T. "Optimal Interest Rate for a Borrower with Estimated Default and Prepayment Risk." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2400.pdf.
Full textPansera, Jérôme. "Local risk minimization, consistent interest-rate modeling, and applications to life insurance." Diss., University of Iowa, 2008. https://ir.uiowa.edu/etd/15.
Full textHenningsson, Peter, and Christina Skoglund. "A framework for modeling the liquidity and interest rate risk of demand deposits." Thesis, KTH, Matematisk statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187478.
Full textMålet med denna rapport är att utveckla ett ramverk för att bestämma likviditets-och ränterisken som är relaterad till en banks inlåningsvolym. Detta görs genom att först ta fram en modell för korträntan via kalibrering av en Vasicek modell. Därefter utvecklas, genom multipelregression, modeller för att beskriva bankens inlåningsvolym och inlåningsränta. Dessa modeller används för att kvantifiera likviditets- och ränterisken för inlånings-volymen, vilka beräknas och presenteras separat. Likviditetsrisken bestäms genom att en likviditetskvantil tas fram, vilken estimerar den minimala inlånings-volymen som förväntas kvarstå hos banken över en given tidsperiod. Ränterisken kvantifieras med en arbitragefri värdering av inlåningen och resultatet används för att bestämma känsligheten för hur nuvärdet av inlåningsvolymen påverkas av ett parallellskifte. Utöver detta bestäms en immuniseringsportfölj samt en rep-likerande portfölj och resultatet av dessa utvärderas mot hur nuvärdet förändras givet att samma parallellskifte i ränteläget som tidigare introduceras. Slutsatsen av projektet är att det framtagna ramverket för att bestämma likviditetsrisken för inlåningen gav bra resultat och skulle kunna implementeras i dagsläget av banken, förutsatt att volymmodellen estimeras på representativ data samt att en bättre modell för korträntan används. Ramverket för att bestämma ränterisken gav dock inte lika tillförlitliga resultat och är mer utmanande att implementera då en mer avancerad modell för inlåningsräntan krävs.
Kierulf, Kaja. "Evaluating Different Simulation-Based Estimates for Value and Risk in Interest Rate Portfolios." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10823.
Full textThis thesis evaluates risk measures for interest rate portfolios. First a model for interest rates is established: the LIBOR market model. The model is applied to Norwegian and international interest rate data and used to calculate the value of the portfolio by using Monte Carlo simulation. Estimation of volatility and correlation is discussed as well as the two risk measures value at risk and expected tail loss. The data used is analysed before the results of the backtesting evaluating the two risk measures are presented.
Port, Henry Alvorado [Verfasser], and Stefan [Akademischer Betreuer] Mittnik. "Advances in interest rate & risk modeling / Henry Alvorado Port ; Betreuer: Stefan Mittnik." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1218466847/34.
Full textAkhtaruzzaman, Md. "Interest rate risk of Australian financial firms." Thesis, 2013. http://hdl.handle.net/1959.13/1037246.
Full textThe Australian financial system has undergone major regulatory changes during the 1970s and 1980s. The most notable deregulatory measures include the removal of interest rate ceilings on bank deposits and loans, the liberalization of foreign bank entry restrictions, and the introduction of a floating exchange rate system, among others. These deregulatory measures have increased competitive pressure on financial firms from both home and abroad and reduced net interest margin, making financial firms more vulnerable to interest rate changes. The main purpose of this thesis is to examine the exposure of Australian financial firms to domestic and foreign interest rate risk during the post-deregulation period from 1993 to 2011. The exposure of financial firms to interest rate risk is of crucial importance to practitioners, academics, and regulators, as changes in interest rates may adversely affect the value of a firm as well as the stability of the financial system. The thesis contains three inter related empirical studies on the interest rate risk exposure of Australia financial firms. The first empirical study develops a novel interest rate term structure model for Australia in terms of three underlying factors: level, slope, and curvature and evaluates Australian financial firms’ exposure to these factors in a GARCH-M framework. The value of financial firms are found to be negatively affected by the change in interest rate level factor, while the value of non-financial firms are positively affected by the change in interest rate level factor. Small banks and insurance companies demonstrate positive exposure to the change in the slope factor. Real estate firms exhibit negative sensitivity to the change in the curvature factor. Though the interest rate level is found to be the most important factor, ignoring the slope and curvature factors could lead to an underestimation of the interest rate risk exposure of financial firms. These findings are robust to controlling for the orthogonalised market return, time-varying equity risk premium and financial crises. The second study is the first attempt to examine whether interest rate factors are priced in financial stock returns in an augmented Fama-French (1993) model. This study examines the pricing of Australian financial firm stocks using five common risk factors: the market risk, firm size, book-to-market ratio, long-term interest rate and term premium. The latter two factors have not been previously considered for pricing Australian stocks within the Fama-French framework. The market risk and term premium are priced in equity returns of financial firms, but the size and book-to-market factors are not priced in their equity returns. The third study provides new evidence for the transmission of global interest rate and return shocks to Australian financial stock returns using a Dynamic Conditional Correlation (DCC) GARCH model. Australian banks exhibit negative exposure to changes in both domestic and US interest rates, while US banks have only negative exposure to domestic interest rates. In addition, US interest rate volatility is found to be an important predictor of Australian bank stock return volatility. The time-varying conditional correlation between Australian and US financial stock returns is explained in terms of economic fundamentals and international financial crises. The results suggest that conditional return correlation increases during financial crises. The conditional correlation increases during the contractionary periods of the US economic cycle. Further, the net capital flow between Australia and the US is found to have a positive influence on the conditional correlation. This thesis extends the literature through an in-depth analysis of the domestic and foreign interest rate risk exposure of Australian financial firms. This research is important for the managers of financial firms and investors in order to design interest rate risk management strategies to cope with domestic and foreign interest rate movements. The findings of this thesis are also relevant to regulators for assessing the vulnerability of the Australian financial sector to global financial shocks.
譚丹琪. "Hedging interest rate risk with interest rate futures." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/44141351315523049026.
Full textHou, Yuanfeng. "Essays on credit risk, interest rate risk and macroeconomic risk /." 2003. http://www.gbv.de/dms/zbw/558224261.pdf.
Full textLin, Kun-San, and 林昆三. "Bank interest rate and liquidity risk management." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/69244232996948162300.
Full text國立臺灣大學
財務金融學研究所
94
The interest rate and liquidity risk management of the bank is very important element in the Asset Liability Management (ALM). With the deregulation and internationalization of financial environment and the greater price competition among financial industry, bank interest rate spread is compressed and the profit is decreased. Therefore, it becomes even more important for banks to manage interest rate risk and the liquidity risk to maintain on adequate level of liquidity and to protect its net interest income from being influenced by fluctuation of interest rate. Results from this work can provide valuable references: 1. Find the factors with the influence interest rate. 2. Establish the measuring criteria of the interest rate and the liquidity risk and a better proformance of Asset and Liability committee. 3. Manage interest rate and liquidity risk. 4. Utilize financial instruments to manage the risk. According to the significant reform brought by the R.O.C. Statements of Financial Accounting Standards No. 34 “Accounting for Financial Instruments”, the enterprises are required to measure their financial instruments based on the fair value. This research also analyses the impacts of No. 34 to Asset and Liability allocation and liquidity, and give the suggestions to manage this problem.
Caldeira, Miguel costa. "Interest rate risk model in banking book." Master's thesis, 2019. http://hdl.handle.net/10362/72924.
Full textHsieh, Shu-Ting, and 謝書婷. "The Interaction between Interest Rate Risk and Credit Risk of Adjustable Rate Mortgage." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/79045195276392263089.
Full text國立臺灣大學
財務金融學研究所
97
The article uses a bivariate pricing lattice to observe different interest rates and housing prices. Then we use loan-to-value ratio and payment-to-income ratio to set the default conditions. And the probabilities of default are then calculated. We have sensitivity tests that describe the changes of the probabilities of default due to the changes of different variables including initial interest rate, mean-reverting speed, volatility of interest rate, cash service flow, volatility of house price and correlation coefficient between interest rate and housing price. The conclusions are as follows: (1)Under the same condition except that interest rate settings are different, the probabilities of default of adjustable rate mortgages are higher than which of fixed rate mortgages. (2)Initial interest rate, volatility of interest rate, cash service flow and volatility of housing prices appear to be positively related to the probabilities of default. (3)Mean reverting speed of interest rate and correlation coefficient between interest rate and housing price appear to be negatively related to the probabilities of default.
凃宗旻. "Pricing convertible bonds with credit risk and interest rate risk." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/45694385753897459325.
Full textTai, Hui-Hsin, and 戴慧欣. "Joint Model Calibration of Market Risk, Credit Risk and Interest Rate Risk." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/13753958457382874192.
Full textChung, Jui-shiung, and 鍾瑞雄. "Interest Rate and Bank Foreign Exchange Risk-taking." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/68509236274222042622.
Full text國立臺灣科技大學
財務金融研究所
102
After financial crisis, whole world enter a low interest-rate environment. And the spread between depositing rate and lending rate which is on behalf of bank profit decreases. This paper tries to know that how do banks react in Taiwan under this situation. Will they take more foreign exchange risk to pursue profit? Based on above motivation, this paper uses approximately 200 quarterly observations on 27 banks in Taiwan over the period 2007.09-2013.06 and attempts to provide empirical research on the relation between interest rate and foreign exchange risk. We use value at risk of foreign exchange as a proxy for foreign exchange risk and experiment with various interest rates to robust our results, including a short-term rate, a long-term rate, the central-bank rate, a bank-level lending rate, and a bank-level spread. And further, trying to examine the interaction effect between interest rate and bank size, holdings, and financial crisis. The empirical results are unlike Delis and Kouretas (2011) research: there is a strong negative relation between interest rate and bank’s risk-taking Instead, these results present strong empirical evidence that low-interest rate indeed decrease bank foreign exchange risk-taking. There is a positive relation between them. In addition, there is interaction effect between interest rate and bank size. The relation between interest rate and foreign exchange risk differs depend on the size of bank. With bigger size of bank, the relation between interest rate and foreign exchange risk is more positive. And with smaller size of bank, the relation between interest rate and foreign exchange risk is more negative. And before financial crisis, bank’s foreign exchange risk is significant higher than the period after financial crisis. But the interaction effect between in interest rate and holding, financial crisis is not significant.
Teichert, Max. "The interest rate risk of banks: current topics." Doctoral thesis, 2018. https://doi.org/10.25972/WUP-978-3-95826-071-9.
Full textThis book produces three main results. First, from publicly available statistics, it can be inferred that the interest rate risk from on-balance sheet term transformation of banks in Germany exceeds the euro area average and is bound to increase even further. German banks push for shorter-term funding and hardly counteract the increased demand for longer-term loans. Within Germany, savings banks and cooperative banks are particularly engaged. Second, the supervisory interest rate shock scenarios are found to be increasingly detached both from the historic and the forecasted development of interest rates in Germany. In particular, German banks have been exposed to fewer and smaller adverse changes of the term structure. This increasingly limits the informative content of mere exposure measures such as the Basel interest rate coefficient when used as risk measures as is common practice in banking supervision and economic research. An impact assessment further supports the conclusion that the least that is required is a more comprehensive set of shock scenarios. Third and finally, there is a reasonable theoretical rationale and there is strong empirical evidence for banks' search for yield in interest rate risk. In addition to the established positive link between the term spread and the taking of interest rate risk by banks an additional negative link can be explained theoretically and there is significant empirical evidence for its existence and relevance. There is even a threshold of income below which banks' search for yield in interest rate risk surfaces openly
Santos, Maria Manuela Pinto. "Hedging a bank´s interest rate risk with interest rate swaps accouting treatment and auditing procedures." Master's thesis, 2018. http://hdl.handle.net/10362/49555.
Full textLIN, YI-CHING, and 林怡菁. "A Study on the Interest Rate Risk of the Interest Sensitive Annuity." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/nxbx64.
Full text朝陽科技大學
保險金融管理系碩士班
93
The life insurance company to the equal sensitive of the market interest rate, the Interest Sensitive Annuity Insurance in recent two years of best-selling reduce the connection with the market interest rate. The Interest Sensitive Annuity property and the bank Certificate of Deposit to connect near, pass by it to declared interest rate is along with bank of two years the periodical savings deposit interest rate to float, the most high can add 1.5 ﹪, lowest can reduce 1﹪. At present the market interest rate will go up gradually, the regulator worries the Interest Sensitive Annuity asset to install, can''t respond the trend of the interest rate rising quickly, will cause the management burden of the life insurance company. Therefore manage the policy of the organization leading in the regulator, from 2005-06-01, new insurance contract for declared interest rate upper limit to change to the government bond, descend the limit then not to zero. This research explores the variety of declared interest rate for the Interest Sensitive Annuity with asset and liability to do an analysis. The empirical results indicate that in this text model suppose under, when expectation in the future the market interest rate rises, new system can make the life insurance company produced the surplus, reduce the interest rate risk brings of finance crisis.
Wei-Lun, Liang, and 梁瑋倫. "An Empirical Study of the Interest Rate Parity in Australia." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/26509167926721117452.
Full text國立高雄應用科技大學
金融資訊研究所
99
The aim of this paper is to examine whether the interest rate parity is truth or not, applying the Australian data from January 1990 to December 2010. A variety of time-series methodologies, cointegration test, and causality test, error correction models, are applied to investigate the relationship. The empirical results of the covered interest rate parity(CIRP) are summarized as follows: (1) The empirical results of Johensen’s cointegration show that the cointegration of forward premium and interest rate differential, which implied the CIRP is truth; (2) According to the results of the error correction model it is bi-directional causality between forward premium and interest rate differential。As to the uncovered interest rate parity (UIRP), the empirical results show as follows: (1) The empirical results of Johensen’s cointegration support there is a cointegration between forward exchange rate and expected futher exchange rate, which implied the UIRP is truth; (2) According to the results of the error correction model it is bi-directional causality between forward exchange rate and expected futher exchange rate。
Lin, Yen Cheng, and 林彥丞. "Measuring Interest Rate Risk and Credit Risk of Credit Default Swaps." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/63429674998181815566.
Full text國立清華大學
統計學研究所
103
When a bank trades financial instruments, what it faced is mainly interest rate risks. But it also cannot ignore the potential loss caused by debtors’ credit downgrades. How to accurately measure and manage both types of risks is an important task for all banks. In this thesis, we examine how to derive the default intensity and corresponding probability of default in the credit default swap (CDS), and then combine it with the risk-free rate. We then use Dynamic Nelson-Siegel model to estimate this combined structure. In the last stage, we use Monte Carlo method to simulate ten day Value at Risk as a measure for Banks' risk-based capital requirement.