Dissertations / Theses on the topic 'Vasicek short rate model'
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Bayazit, Dervis. "Yield Curve Estimation And Prediction With Vasicek Model." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605126/index.pdf.
Full textTomassini, Monia. "Pricing in stochastic-local volatility models with default." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7043/.
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.
Pumprová, Zuzana. "Valuation Methods of Interest Rate Options." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-73665.
Full textLuo, Yi. "Spread Option Pricing with Stochastic Interest Rate." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3269.
Full textSenturk, Huseyin. "An Empirical Comparison Of Interest Rate Models For Pricing Zero Coupon Bond Options." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609786/index.pdf.
Full textŠára, Michal. "Analýza generátorů ekonomických scénářů (zejména úrokových měr)." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-199059.
Full textZhang, Bing. "A new levy based short-rate model for the fixed income market and its estimation with particle filter." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3664.
Full textThesis research directed by: Mathematics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
He, Yuanlong. "Relationship between Firm’s PE Ratio and Earnings Growth Rate." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1336490725.
Full textThorne, Terrill D. "Does the Relative Price of Non-Traded Goods Contribute to the Short-Term Volatility in the U.S./Canada Real Exchange Rate? A Stochastic Coefficient Estimation Approach." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/31159.
Full textMaster of Arts
Barri, Alessandro. "Network mechanisms of memory storage in the balanced cortex." Thesis, Paris 5, 2014. http://www.theses.fr/2014PA05T060/document.
Full textIt is generally maintained that one of cortex’ functions is the storage of a large number of memories. In this picture, the physical substrate of memories is thought to be realised in pattern and strengths of synaptic connections among cortical neurons. Memory recall is associated with neuronal activity that is shaped by this connectivity. In this framework, active memories are represented by attractors in the space of neural activity. Electrical activity in cortical neurones in vivo exhibits prominent temporal irregularity. A standard way to account for this phenomenon is to postulate that recurrent synaptic excitation and inhibition as well as external inputs are balanced. In the common view, however, these balanced networks do not easily support the coexistence of multiple attractors. This is problematic in view of memory function. Recently, theoretical studies showed that balanced networks with synapses that exhibit short-term plasticity (STP) are able to maintain multiple stable states. In order to investigate whether experimentally obtained synaptic parameters are consistent with model predictions, we developed a new methodology that is capable to quantify both response variability and STP at the same synapse in an integrated and statistically-principled way. This approach yields higher parameter precision than standard procedures and allows for the use of more efficient stimulation protocols. However, the findings with respect to STP parameters do not allow to make conclusive statements about the validity of synaptic theories of balanced working memory. In the second part of this thesis an alternative theory of cortical memory storage is developed. The theory is based on the assumptions that memories are stored in attractor networks, and that memories are not represented by network states differing in their average activity levels, but by micro-states sharing the same global statistics. Different memories differ with respect to their spatial distributions of firing rates. From this the main result is derived: the balanced state is a necessary condition for extensive memory storage. Furthermore, we analytically calculate memory storage capacities of rate neurone networks. Remarkably, it can be shown that crucial properties of neuronal activity and physiology that are consistent with experimental observations are directly predicted by the theory if optimal memory storage capacity is required
Mengesha, Abi Taddesse. "Characterizing phosphate desorption kinetics from soil : an approach to predicting plant available phosphorus." Thesis, University of Pretoria, 2008. http://hdl.handle.net/2263/24346.
Full textThesis (PhD)--University of Pretoria, 2009.
Plant Production and Soil Science
PhD
unrestricted
Wei-JiaHuang and 黃韋嘉. "Reexamination of Interest rate parity with Vasicek model in the aftermath of global financial crisis." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/5j2d98.
Full textWu, Chia-Chien, and 吳佳倩. "The Short-Rate Model Calibration Of Subprime Storm Period." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/89368928665015142879.
Full text東海大學
經濟系
97
This article will analyze the yield curve term structure under subprime storm by short-rate model. And discuss the method of calibration and the strong or weak point of these models.
Hsieh, Tai-Huan, and 謝岱桓. "The Pricing Model of Taiwanese Gold Option with the Short-Rate Model." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/6qm4h3.
Full text國立虎尾科技大學
財務金融系碩士班
104
According to the underlying asset of Taiwanese Gold Option (TGO), the TGO price will encounter currency risk. It means that the payoff function is similar as Quanto option. Generally speaking, the stochastic process of Quanto option’s underlying asset is assumed to follow a standard Brownian motion, and its’ interest rate is assumed to be constant. These assumptions are unsuitable. To improve the TGO pricing model, this paper has three purposes as follow: 1. To develop the first model, the stochastic process of logarithm gold price is assumed to follow Ornstein – Uhlenbeck model. Using the Quanto option model to evaluate this model. 2. The second model increases the other factor, stochastic interest rate, which is assumed to follow Ornstein – Uhlenbeck model. And replace the risk-free rate by Zero Coupon Bond. 3. The first one and second one was compared, and we simulate the price by VBA code. We found that the price of MTGO model was close with settlement price.
Hung, Kuo-Chou, and 洪國洲. "Analysis of Short-Term Rate in Taiwan- Multivariate GARCH Model." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/44042334768048098581.
Full text銘傳大學
財務金融學系碩士在職專班
98
Short-Term Rate is a key role in the place of monetary policy. Moreover, new financial products developed rapidly, the short-term rate is also very important toward varies asset pricing models. This research is based on basic liquidity effect theory for empirical study in Taiwan via certain variables, as of micro-economics, banks excess reserve, income, product price, and rate, for two multivariate models, as of practicing diagonal-vech model, and BEKK model. The empirical result claims that diagonal-vech model is better than BEKK model in estimation. It is also implied that TAIBOR is more recommended than commercial paper rate.
HUANG, Chih-Hui, and 黃志輝. "The Application of Grey Model for Short-Term Unemployment Rate Forecast." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/35305084729711129825.
Full text亞洲大學
資訊工程學系碩士班
97
In recent years, because along with world population gradual increase, various countries in the economic policy, expanded the employment market diligently, how studied to cut the unemployment rate, has been in the policy one of important topics, however under the current financial Tsunami, various countries' unemployment rate climbed, was our country deeply its influence, how also forecast that the unemployment rate thorough discussion in order to help the economic policy was important, therefore studied an unemployment rate model, has the important research subject extremely, particularly in the short time, under the few data condition, is the nowadays economic activities change environment, therefore we proposed that the grey modelling GM(1, N), for the unemployment rate forecast model. This research is with the Gray Throry short-term forecast characteristic, inspects and the forecast in this financial storm trend of Taiwan unemployment rate, is also uses in the Executive Yuan Laborer Committee website the statistical information, obtains the unemployment rate and the correlation according to, r in the first data using the Grey Relation Analysis discove with the unemployment rate related member, then with Grey System Theory GM(1, N) way constructs its forecast model, then forecast that the unemployment rate future tendency pulsation, and will observe its result to propose the conclusion and the suggestion.
Ho, I.-Chun, and 何怡諄. "Asymmetric Dynamic Diffusion research:An Empirical Investigation of Short-Term Interest Rate Model in Taiwan." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/67758235409938258361.
Full text淡江大學
財務金融學系碩士班
93
This paper estimates a dynamics model of short-term interest rate and allows sensitivity of the volatility process to interest rate levels. The empirical results that GARCH effect, NARCH effect and stochastic volatility effect in the diffusion function fit the date well and superior to the single factor model of the level effect. If we use GARCH model to estimate the diffusion process will cause over-evaluate the fluctuation, so this paper especially make use of NARCH model to describe the true dynamic fluctuation reacts of short interest rate. The empirical research points out that modeling of the linear drift GARCH model and the nonlinear drift NARCH model in the short interest rate are the best. In addition, I develop some asymmetric framework in mean and diffusion function. When estimating the nonlinear drift NARCH model, the asymmetric response in the drift function is the best model.
LiuZhongYuan and 劉鍾元. "The prediction of short-run exchange rate on the basis of modified interest parity model." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/89300181101040516234.
Full text輔仁大學
經濟學系碩士班
103
In this article, I use the Risk Premium to correct the interest rate parity model, and use it to predict the short-run exchange rate. The main aim of this article is offer another method which is reliable and simple for common investors to use. First, I make the Unit Root Test to the exchange rate and interest rate spreads between major industry countries. The result indicates that all the exchange rates are I(1) and all the interest rate spreads are I(0). It means the variation of exchange rates is I(0), all of my variables are stationary. Then I derived the structure model and make the estimation and prediction by rolling regression, compared with the random walk model without drift. Our results indicate that Risk Premium played the main role in prediction. The effect of news is not very obvious but still could improve the prediction of our structure model, especially in our subsamples. When I divide the sample into two subsamples by Subprime Crisis, I get a better result that the structure model could beat the random work model for all the exchange rates.
Dai, Sumei, and 戴淑美. "A Study of Genetic Programming on Prediction Model for Exchange Rate – Example of Short Term Exchange Rate between USD and NT." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/28822622199097980769.
Full text輔仁大學
資訊管理學系
95
The foreign exchange market is a highly dynamic global market that runs 24 hours a day. It requires an excellent command of both fundamental and technical analyses on an investor’s part to stay ahead of rate trends and determine the best trading points. The complexity of exchange rate analysis and the necessary professional expertise pose a great difficulty for the average investors. This study takes important factors that influence exchange rates, including the money market, the stock market, the foreign exchange market, and technical indicators, and applies them to genetic programming. The intended approach is to establish a forecast model by taking advantage of the self-learning characteristics and smart computing capacity. The model will be then utilized to produce rate trends and make recommendations on optimal trading strategies for investors. Several conclusions can be drawn from results of this study. (1) When it comes to system optimization, roulette wheel selection is more stable than game. The best method of producing offspring generations is Rank89, followed by Rank85. As for reproduction mechanism, KeepBest-10 outperforms KeepBest-1. (2) Opening exchange rates, 5-day range, and technical indicators are indeed important reference tools in forecasting short-term exchange rates. (3) Foreign exchange forecasted by the four fitness values, MAE, MAPE, MSE, and MSPE, all fall within high precision range. Among the four values, MSE gives the highest degree of precision. (4) Measuring 5-day exchange rate data by return reveals positive returns across the board, which supports the theory of error rate precision. (5) When applied to practical trading strategies, all four strategies achieve positive returns and holding US dollars is a particularly attractive position. Investing by accrual position yields a better profit when returns are high.
wang, wei-tao, and 王偉濤. "stochastic volatility model--the study of the volatility of NT exchange rate in the short run." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/37375877429034110010.
Full textChang, Chih-Ming, and 章志銘. "Using Threshold Error-Correction Model to Investigate Short and Long Run Relationship between Stock Price Respectively with Interest Rate and Exchange Rate in Taiwan." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/55649367040603000734.
Full text淡江大學
財務金融學系碩士班
93
Employing the Threshold Error-Correction Model (TECM), this study investigates the asymmetric causal relationships between stock price respectively with exchange rate and interest rate in Taiwan using the daily closing data running from 1995 to 2004. The results from Granger-Causality tests based on corresponding Threshold Error-Correction Model clearly point out a bidirectional causality running from the exchange rate market to the stock market and a unidirectional causality from the stock market to the interest rate market in the short run. Furthermore, we find asymmetric price transmissions between the stock market respectively with the exchange rate and interest rate markets in the long run. These findings ought to be made readily available to individual investors and financial institutions holding long-term investment portfolios in these three asset markets for their likely implications today.
Yang, Tsung-Yueh, and 楊宗岳. "The Predictive Power of Short-term and Long-term Exchange Rate Models-Based on Linear and Artificial Intelligence Model." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/17370788515843921146.
Full text國立成功大學
財務金融研究所
92
This thesis uses short-term prediction models such as ARIMA, Genetic Algorithm (GA) and Back-Propagation Neural Network (BPN) model and long-term prediction models such as Econometrics model, GA and BPN not only to predict exchange rates but also to find out which model has the best forecasting ability. The thesis uses MAPE to measure each model’s precision, and it also uses moving direction which is forecasted by models to measure each model’s validity. The thesis finds out the fact that, in the short-term period, the GA has the best precision ability, and there is not apparent validity difference among ARIMA, GA and BPN model. On the other hand, this thesis also finds out the fact that, in the long-term period, the GA also has the best precision ability. When an exchange rate shows random walk style (such as Swiss Franc/US dollar and Yen/US dollar), the GA has the best validity ability; when an exchange rate doesn’t show random walk style (such as NT dollar/US dollar and British Pound/US dollar), the BPN has the best validity ability. The reasons why the GA has the best precision ability are that BPN model uses the same parameters as ARIMA or Econometrics model, which causes to give restriction to the BPN and restrains its ability from forecasting exchange. The thesis also suggests future researcher to find out appropriate learning rule, hidden layers and transfer function when using the BPN to predict exchange rates. The further researcher can also use rolling regression by increasing out-of-the-sample period in order to acquire more samples, which can improve model’s precision and validity.
Lai, Ming-Yen, and 賴名諺. "The analysis of the short term and long term regression model for the factors influence the new Taiwan dollar FX rate." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/13810985011084325886.
Full textHSU, YAO-WEN, and 許耀文. "The Long-Term and Short-Term Impacts of Exchange Rate Variation on Taiwan Stock Market Index - An Application of Transfer Function Time Series Model." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/37s757.
Full text國立臺北大學
企業管理學系
106
In general, a change in exchange rate would affect imports and exports. Does such an effect has a significant impact on the rise or fall of market stock price? This study attempts to explore the long- and short-term effects of the changes of Taiwan dollar exchange rates on the Taiwan stock market index, electronic stock index, and financial stock index. The ultimate goal is to construct a most appropriate forecasting model for the stock market. The sample was from Jan. 2006 to Dec. 2016, a total of 132 monthly data. The transfer function ARIMA model (TFARMA) was adopted to estimate and verify the model parameters and the mean absolute percentage error (MAPE) is computed to evaluate the model accuracy. The findings are as follows: 1. The Taiwan dollar exchange rate has a significant impact on the stock market index in the short- and long-term. The model MAPE is 3.98% per month. 2. The Taiwan dollar exchange rate has a significant effect on the short- and long-term effects of the Taiwan electronic stock index. The model MAPE is 4.52% per month. 3. The Taiwan dollar exchange rate has no significant impact on the Taiwan financial stock index in the short term; it has a significant effect in the long term. The model MAPE is 5.22% per month.
Viljoen, Gareth. "The impact of cross border mergers and acquisitions on the operating financial and short - term share price performance of acquiring companies listed on the Johannesburg Stock Exchange." Diss., 2013. http://hdl.handle.net/2263/40584.
Full textDissertation (MBA)--University of Pretoria, 2013.
lmgibs2014
Gordon Institute of Business Science (GIBS)
MBA
Unrestricted
Černý, Jakub. "Stochastické modelování úrokových sazeb." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-300203.
Full text