TY - JOUR
T1 - Bond Prices Under Information Asymmetry and a Short Rate with Instantaneous Feedback
AU - Chakraborty, Prakash
AU - Lee, Kiseop
N1 - Funding Information:
This research was partially supported by the Purdue Research Foundation.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022/6
Y1 - 2022/6
N2 - We study an information asymmetry problem in a bond market. Especially we derive bond price dynamics of traders with different levels of information. We allow all information processes as well as the short rate to have jumps in their sample paths, thus representing more dramatic movements. In addition we allow the short rate to have instantaneous feedbacks from the current levels of itself and these information processes. A fully informed trader observes all information which affects the bond price while a partially informed trader observes only a part of it. We first obtain the bond price dynamic under the full information, and also derive the bond price of the partially informed trader using Bayesian filtering method. The key step is to perform a change of measure so that the dynamic under the new measure becomes computationally efficient.
AB - We study an information asymmetry problem in a bond market. Especially we derive bond price dynamics of traders with different levels of information. We allow all information processes as well as the short rate to have jumps in their sample paths, thus representing more dramatic movements. In addition we allow the short rate to have instantaneous feedbacks from the current levels of itself and these information processes. A fully informed trader observes all information which affects the bond price while a partially informed trader observes only a part of it. We first obtain the bond price dynamic under the full information, and also derive the bond price of the partially informed trader using Bayesian filtering method. The key step is to perform a change of measure so that the dynamic under the new measure becomes computationally efficient.
UR - https://www.scopus.com/pages/publications/85124417011
UR - https://www.scopus.com/pages/publications/85124417011#tab=citedBy
U2 - 10.1007/s11009-021-09922-1
DO - 10.1007/s11009-021-09922-1
M3 - Article
AN - SCOPUS:85124417011
SN - 1387-5841
VL - 24
SP - 613
EP - 634
JO - Methodology and Computing in Applied Probability
JF - Methodology and Computing in Applied Probability
IS - 2
ER -