Rights statement: This is the peer reviewed version of the following article: Cho, H. and Choi, S. (2015), What Drives Credit Rating Changes? A Return Decomposition Approach. Asia-Pacific Journal of Financial Studies, 44: 899–931. doi: 10.1111/ajfs.12118 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/ajfs.12118/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - What drives credit rating changes?
T2 - a return decomposition approach
AU - Cho, Hyungjin
AU - Choi, Sun Hwa
N1 - This is the peer reviewed version of the following article: Cho, H. and Choi, S. (2015), What Drives Credit Rating Changes? A Return Decomposition Approach. Asia-Pacific Journal of Financial Studies, 44: 899–931. doi: 10.1111/ajfs.12118 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/ajfs.12118/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
PY - 2015/12
Y1 - 2015/12
N2 - This paper examines the relative importance of a shock to expected cash flows (i.e., cash-flow news) and a shock to expected discount rates (i.e., discount-rate news) in credit rating changes. Specifically, we use a Vector Autoregressive model to implement the return decomposition of Campbell and Shiller (Review of Financial Studies, 1, 1988, 195) and Vuolteenaho (Journal of Finance, 57, 2002, 233) to extract cash-flow news and discount-rate news from stock returns at the firm-level. We find that credit rating changes are, on average, more strongly associated with cash-flow news than with discount-rate news, consistent with cash-flow news being more permanent than discount-rate news. We further find that both cash-flow news and discount-rate news are more strongly related to credit rating changes when they convey negative information about firm value. This asymmetric association is consistent with the non-linear nature of default risk and with the fact that rating agencies incorporate bad news sooner than good news into their rating revisions. This paper contributes to the literature by providing evidence on the relative importance of cash-flow news and discount-rate news in the credit rating process.
AB - This paper examines the relative importance of a shock to expected cash flows (i.e., cash-flow news) and a shock to expected discount rates (i.e., discount-rate news) in credit rating changes. Specifically, we use a Vector Autoregressive model to implement the return decomposition of Campbell and Shiller (Review of Financial Studies, 1, 1988, 195) and Vuolteenaho (Journal of Finance, 57, 2002, 233) to extract cash-flow news and discount-rate news from stock returns at the firm-level. We find that credit rating changes are, on average, more strongly associated with cash-flow news than with discount-rate news, consistent with cash-flow news being more permanent than discount-rate news. We further find that both cash-flow news and discount-rate news are more strongly related to credit rating changes when they convey negative information about firm value. This asymmetric association is consistent with the non-linear nature of default risk and with the fact that rating agencies incorporate bad news sooner than good news into their rating revisions. This paper contributes to the literature by providing evidence on the relative importance of cash-flow news and discount-rate news in the credit rating process.
KW - Cash-flow news
KW - Credit ratings
KW - Discount-rate news
KW - Return decomposition
KW - Vector Autoregression
U2 - 10.1111/ajfs.12118
DO - 10.1111/ajfs.12118
M3 - Journal article
VL - 44
SP - 899
EP - 931
JO - Asia‐Pacific Journal of Financial Studies
JF - Asia‐Pacific Journal of Financial Studies
SN - 2041-6156
IS - 6
ER -