Don H. Kim
Federal Reserve System
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Don H. Kim.
Social Science Research Network | 2005
Don H. Kim; Jonathan H. Wright
This paper reviews a simple three-factor arbitrage-free term structure model estimated by Federal Reserve Board staff and reports results obtained from fitting this model to U.S. Treasury yields since 1990. The model ascribes a large portion of the decline in long-term yields and distant-horizon forward rates since the middle of 2004 to a fall in term premiums. A variant of the model that incorporates inflation data indicates that about two-thirds of the decline in nominal term premiums owes to a fall in real term premiums, but estimated compensation for inflation risk has diminished as well.
Social Science Research Network | 2008
Stefania D'Amico; Don H. Kim; Min Wei
TIPS breakeven inflation rate, defined as the difference between nominal and TIPS yields of comparable maturities, is potentially useful as a real-time measure of market inflation expectations. In this paper, we provide evidence that a fairly large TIPS liquidity premium existed until recently, using a multifactor no-arbitrage term structure model estimated with nominal and TIPS yields, inflation and survey forecasts of interest rates. Ignoring the TIPS liquidity premiums leads to counterintuitive implications for inflation expectations and inflation risk premium, and produces large pricing errors for TIPS. In contrast, models incorporating a TIPS liquidity factor generate much better fit for these variables and reveal a TIPS liquidity premium that was until recently quite large (~1%) but has come down in recent years, consistent with the common perception that TIPS market grew and liquidity conditions improved. Our results indicate that after taking proper account of the liquidity conditions in the TIPS market, the movement in TIPS breakeven inflation rate can provide useful information for identifying real yields, expected inflation and inflation risk premium.
Mathematical Finance | 2014
Don H. Kim
This paper shows that Singleton and Umantsevs method for swaption pricing in affine models can be simplified and extended to other models. Two alternative methods for approximating the option exercise boundary are introduced: one based on the multivariate Taylor series expansion, and the other based on duration‐matched zero‐coupon bond approximation. Applied to affine models and quadratic‐Gaussian models, these methods are found to give accurate swaption prices.
Social Science Research Network | 2016
Don H. Kim; Jonathan H. Wright
We construct a no-arbitrage term structure model with jumps in the entire state vector at deterministic times but of random magnitudes. Jump risk premia are allowed for. We show that the model implies a closed-form representation of yields as a time-inhomogeneous affine function of the state vector, and derive other theoretical implications. We apply the model to the term structure of US Treasury rates, estimated at the daily frequency, allowing for jumps on days of employment report announcements. Our model can match the empirical fact that the term structure of interest rate volatility has a hump-shaped pattern on employment report days (but not on other days). The model also produces patterns in bond risk premia that are consistent with the empirical finding that much of the time-variation in excess bond returns accrues at times of important macroeconomic data releases.
BIS Quarterly Review | 2007
Don H. Kim; Athanasios Orphanides
Social Science Research Network | 2009
Don H. Kim
Asia-pacific Journal of Financial Studies | 2014
Woon Wook Jang; Young Ho Eom; Don H. Kim
Computing in Economics and Finance | 2005
Min Wei; Stefania D'Amico; Don H. Kim
Pacific-basin Finance Journal | 2017
Hanbok Choi; Young Ho Eom; Woon Wook Jang; Don H. Kim
Archive | 2011
Don H. Kim