Proximity to Broad Credit Rating Change and Earnings Management

Author(s):  
Ashiq Ali ◽  
Weining Zhang
2018 ◽  
Vol 11 (4) ◽  
pp. 87 ◽  
Author(s):  
Hong-Ming Yin ◽  
Jin Liang ◽  
Yuan Wu

In this paper, we consider a new corporate bond-pricing model with credit-rating migration risks and a stochastic interest rate. In the new model, the criterion for rating change is based on a predetermined ratio of the corporation’s total asset and debt. Moreover, the rating changes are allowed to happen a finite number of times during the life-span of the bond. The volatility of a corporate bond price may have a jump when a credit rating for the bond is changed. Moreover, the volatility of the bond is also assumed to depend on the interest rate. This new model improves the previous existing bond models in which the rating change is only allowed to occur once with an interest-dependent volatility or multi-ratings with constant interest rate. By using a Feynman-Kac formula, we obtain a free boundary problem. Global existence and uniqueness are established when the interest rate follows a Vasicek’s stochastic process. Calibration of the model parameters and some numerical calculations are shown.


2017 ◽  
Vol 16 (3) ◽  
pp. 366-384
Author(s):  
Qiuhong Zhao

Purpose This study aims to investigate whether firms engage in earnings management behavior that attempts to manipulate Credit Rating Agency (CRA) perceptions during the Watchlist process and, if so, whether earnings management behavior appears to influence CRAs’ decisions. Design/methodology/approach To measure earnings management activities, this paper computes accrual-based and real earnings management measures in the year or in the quarter immediately before the Watchlist resolutions for all negative and positive Watchlist firms. To examine the association between the levels of earnings management and Watchlist resolutions, a logit model is applied to the data obtained from a sample of Watchlist firms. Findings Some evidence suggests that managers in Watchlist firms manage earnings in attempts to gain favorable Watchlist treatment. The findings are consistent with the Graham et al.’s (2005) survey evidence, which shows that one of the primary reasons for earnings management is to gain (or preserve) a desirable rating. In addition, CRAs appear to be misled by these attempts during the negative Watchlist process period. Research limitations/implications The findings support SEC’s (2011, 2013a, 2013b) rules to reduce its reliance on credit ratings and the recent regulation reforms concerning the competition in the rating industry [the Credit Rating Agency Reform Act (2006)], and concerning conflicts of interest of CRAs among others [Dodd–Frank Wall Street Reform and Consumer Protection Act (2010)]. Originality/value While many studies examine whether managers use discretionary accruals as a tool to manage earnings to obtain favorable ratings, those studies do not consider manipulation of real operating activities to manage earnings and CRA perceptions.


2013 ◽  
Vol 42 (1) ◽  
pp. 109-140 ◽  
Author(s):  
Young S. Kim ◽  
Yura Kim ◽  
Kyojik “Roy” Song

2014 ◽  
Vol 30 (6) ◽  
pp. 1785 ◽  
Author(s):  
Sang Hyun Park ◽  
Jaywon Lee

Managers sometimes manage earnings upward (i.e., engage in earnings management) or guide analyst forecasts downward (i.e., engage in expectation management) to meet or beat analysts earnings forecasts (MBE). Our results suggest that certain management behavior to achieve MBE is highly associated with firms level of accounting conservatism. In detail, we find that (1) the level of accounting conservatism decreases as firms achieve MBE in consecutive years, (2) engaging in earnings management to achieve MBE lowers firms level of conservatism, and (3) firms that achieve MBE in consecutive years (CMBE firms) whose credit rating had been elevated practice less conservative accounting implying that the MBE string itself might act as a substitute for conservative accounting in lowering firms cost of debt.


2017 ◽  
Vol 13 (3) ◽  
pp. 563-585 ◽  
Author(s):  
Min-Shik Shin ◽  
◽  
Jae-Ik Lee ◽  
Ho-Yeong Jeong ◽  
◽  
...  

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