• Title/Summary/Keyword: 이자율 기간구조

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차등세율(差等稅率)이 선도이자율(先渡利子率)과 기간(期間)프리미엄에 미치는 영향

  • Kim, Seok-Jin
    • The Korean Journal of Financial Studies
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    • v.3 no.2
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    • pp.67-95
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    • 1996
  • 본 연구는 단기소득과 장기소득에 대한 차등세제(差等稅制)(differential taxation)가 선도이자율, 기간프리미엄, 이자율의 기간구조 등에 미치는 영향을 이론적으로 분석하고 있다. 분석결과, 세금이 있을 경우 선도이자율(先渡利子率)은 미래이자율(未來利子率)의 추정치로써 하향편의(下向偏倚)(downward bias)를 가지며, 이러한 세금편의(稅金偏倚)(tax bias)의 크기는 장기소득세율(長期所得稅率)이 낮을수록 한계체감적으로 증가하고 미래이자율(未來利子率)이 상향 또는 평평한 구조를 가질 경우 잔존만기가 길수록 증가하며, 세금편의의 크기의 한계변화는 미래이자율(未來利子率)이 상향(上向)하고 있지 않는 한 장기소득세율(長期所得稅率)이 낮을수록 한계체감적으로 증가하는 것으로 나타났다. 따라서, 만기(滿期)가 길 경우 기간프리미엄이 음(陰)으로 나타나고 기간구조가 1년이 지나서는 모양이 다양하게 나타나고 있다는 Fama(1984)의 연구결과는 기존의 이자율의 기간구조(期間構造)에 관한 제이론(諸理論)들로써는 설명될 수 없으나, 본 연구가 분석한 음(陰)의 세금효과(稅金效果)에 의해서 설명될 수 있었다. 또한, 선도이자율이 우하향구조(右下向構造)를 가질 경우에는 장기현물이자율(長期現物利子率)이 보다 나은 미래이자율(未來利子率)의 추정치이며, 선도이자율이 우상향구조(右上向構造)를 가지는 경우에는 선도이자율(先渡利子率)이 현물이자율보다 우수한 미래이자율의 추정치인 것으로 분석되었다.

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Immunization Model with Non-parallel shift Term-Structure using Neural Networks (신경망을 이용한 비평형 이동 기간구조 하에서의 면역 모델)

  • 박우철;최경현
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2000.04a
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    • pp.453-456
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    • 2000
  • 고정금리 상품의 투자에서 이자율 변동 위험을 피할 수 있는 방법으로 많이 쓰이는 것은 듀레이션을 이용한 면역 모델(Bond Portfolio Immunization Model)로, 이것은 이자율 변동에 대해 포트폴리오의 가격 민감도인 듀레이션을 이용하여 자산과 부채의 변화를 일치시키는 방법이다. 그러나 이 전략은 수익률 곡선이 평형하게 이동한다는 가정(Parallel Shift Term-Structure)을 단점으로 가지고 있어 현실에 적용될 경우 오차가 발생하게 된다. 본 연구에서는 선험적(empirical) 방법으로 평형하지 않은 움직임을 가진 기간구조의 함수(Term-Structure Function)를 정의하고 면역 모델을 부채의 현금흐름에 대해 개별적으로 적용하는 새로운 면역 전략 모델을 구성하고 실험한다

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Predicting Economic Activity via the Yield Spread: Literature Survey and Empirical Evidence in Korea (이자율 스프레드의 경기 예측력: 문헌 서베이 및 한국의 사례 분석)

  • Yun, Jaeho
    • Economic Analysis
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    • v.26 no.3
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    • pp.1-47
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    • 2020
  • This paper surveys research since the 1990s on the ability of the yield spread and its components (i.e., expectation spread and term premium components) for future economic activity, and also conducts an empirical analysis of their forecasting ability using the yield data of Korean government bonds. This paper's survey, particularly for the US, shows that the yield spread has significant predictive power for some macroeconomic variables, but since the mid-1980s, its predictive power seems to have declined, possibly due to stronger inflation targeting. Next, this paper's empirical analysis using Korean data indicates that the yield spread, and the term premium component in particular, has significant predictive power for industrial production (IP) growth, consumer price index growth, and the IP gap. An out-of-sample analysis shows that the prediction equations are unstable over time, and that in predicting IP growth, the yield spread decomposition makes a significant contribution to the prediction of IP growth.

Numerical Analysis and Simulation for the Pricing of Bond on Term-Structure Interest Rate model with Jump (점프 항을 포함하는 이자율 기간구조 모형의 채권 가격결정을 위한 수치적 분석 및 시뮬레이션)

  • Kisoeb Park
    • Journal of Internet Computing and Services
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    • v.25 no.2
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    • pp.93-99
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    • 2024
  • In this paper, we derive the Partial Differential Bond Price Equation (PDBPE) by using Ito's Lemma to determine the pricing of bond on term-structure of interest rate (TSIR) model with jump. From PDBPE, the Maclaurin series (MS) and the moment-generating function (MGF) for the exponential function are used to obtain a numerical solution (NS) of the bond prices. And an algorithm for determining bond prices using Monte Carlo Simulation (MCS) techniques is proposed, and the pricing of bond is determined through the simulation process. Comparing the results of the implementation of the above two pricing methods, the relative error (RE) is obtained, which means the ratio of NS and MCS. From the results, we can confirm that the RE is less than around 2.2%, which means that the pricing of bond can be predicted very accurately using the proposed algorithms as well as numerical analysis. Moreover, it was confirmed that the bond price obtained using the MS has a relatively smaller error than the pricing of bond obtained by using the MGF.

An Empirical Study on the Economic Development Effects on Kazakhstan Focusing on the Macroeconomic Indices: International Oil Price, Interest Rate, Real Exchange Rate (카자흐스탄 경제발전에 대한 실증연구 : 국제유가·이자율·실질환율을 중심으로)

  • Hwang, Yun-Seop;Kim, Kyung-Hee;Kim, Soo-Eun
    • International Area Studies Review
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    • v.14 no.1
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    • pp.77-97
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    • 2010
  • Recently, countries on the Caspian Sea were had heavily interested due to instability of international resource market. These countries having been developed basing on energy exports, especially Kazakhstan have drastically grown during a decades. However economy, heavily relied on the exports of energy, is influenced on fluctuation in the international energy price as well as sometimes exposed at Dutch disease. These days, Kazakhstan, increased trade and investment with Korea, has been on the rise as new supplier for energy. Therefore, economic change in Kazakhstan can be an important issue. In this paper, we analyze relations among oil price, interest rate, and real exchange rate during sample period from January 1999 to December 2008 expanding Balasa-Samuelson model. Empirical results present that oil price, interest rate, and real exchange rate mutually keep their balance. Eventually, we find out Kazakhstan has exposed at Dutch disease since oil price and interest rate have negative impacts on real exchange rate respectively.

A Bayesian approach for dynamic Nelson-Siegel yield curve modeling on SOFR term rate data (SOFR 기간 데이터에 대한 동적 넬슨-시겔 이자율 곡선의 베이지안 접근법)

  • Seong Ho Im;Beom Seuk Hwang
    • The Korean Journal of Applied Statistics
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    • v.36 no.4
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    • pp.349-360
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    • 2023
  • Dynamic Nelson-Siegel model is widely used in modeling term structure of interest rates for financial products. In this study, we explain dynamic Nelson-Siegel model from the perspective of the state space model and explore Bayesian approaches that can be applied to that model. By applying SOFR term rate data to the Bayesian dynamic Nelson-Siegel model, we confirm the performance and compare it with other competing models such as Vasicek model, dynamic Nelson-Siegel model based on the frequentist approach, and the two-factor Bayesian dynamic Nelson-Siegel model. We also confirm that the Bayesian dynamic Nelson-Siegel model outperformed its competitors on SOFR term rate data based on RMSE.

Analyzing the Effect of Changes in the Benchmark Policy Interest Rate Using a Term Structure Model (이자율 기간구조를 이용한 정책금리 변경의 효과 분석)

  • Song, Joonhyuk
    • KDI Journal of Economic Policy
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    • v.31 no.2
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    • pp.15-45
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    • 2009
  • This paper estimates the term structure of interest rates with the setup of 3-factor no arbitrage model and investigates the trend of term premia and the effectiveness of changes in policy interest rates. The term premia are found to be high in a three-year medium term objective, which can be interpreted as reflecting the recognition of investors who expect a higher uncertainty in real activities for the coming three years than for a longer term. Then, in order to look into the effect of policy interest rates after the recent change of benchmark interest rate, this paper analyzes the effects of the changes in short-term interest rates of the financial market on the yield curve of the bond market at time of change. Empirical results show that the discrepancy between call rate, short-term rate in money market, and instantaneous short rate, short-term rate in the bond market, is found to be significantly widened, comparing to the periods before the change in benchmark interest rate. It is not easy to conclude clearly for now whether such a widening gap is caused by the lack of experiences with managing new benchmark interest rate or is just an exceptional case due to the recent turmoil in the global financial market. However, monetary policy needs to be operated in a manner that could reduce the gap to enhance its effectiveness.

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