Results 81 to 90 of about 167,661,566 (258)
The default risk of high-yield bonds. [PDF]
This paper investigates the default behavior of original issue rated non-convertible high-yield bonds. The hazard model simultaneously estimates the impact of bond age, firm- and issue-specific characteristics, and changing economic conditions.
McDonald, CG, Van de Gucht, Linda
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Advanced Science, EarlyView.The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang +11 more
wiley +1 more source
Default Risk in Corporate Yield Spreads [PDF]
An important research question examined in the recent credit risk literature focuses on the proportion of corporate yield spreads which can be attributed to default risk.
Khemais Hammami +4 more
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Advanced Science, EarlyView.This study presents a single‐cell atlas of pseudomyxoma peritonei spanning primary and paired metastatic lesions. Distinct epithelial substates, stromal remodeling, immune exclusion, lipid metabolic reprogramming, and a candidate angiogenic network were identified in metastatic lesions.
Xi Li +14 more
wiley +1 more source
Empirical estimation of default and asset correlation of large corporates and banks in India [PDF]
Estimation of default and asset correlation is crucial for banks to manage and measure portfolio credit risk. This would require studying the risk profile of the banks’ entire credit portfolio and developing the appropriate methodology for the estimation
Bandyopadhyay, Arindam, Ganguly, Sonali
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Advanced Science, EarlyView.High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren +8 more
wiley +1 more source
A Model of Mortgage Default [PDF]
This paper solves a dynamic model of a household's decision to default on its mortgage, taking into account labor income, house price, inflation, and interest rate risk.
John Y. Campbell, João F. Cocco
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Advanced Science, EarlyView.Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Advanced Science, EarlyView.Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Post-purchase Counseling and Default Resolutions among Low- and Moderate-Income Borrowers [PDF]
The rise of delinquencies and foreclosures in a softening housing market calls for systematic studies of default behavior and efforts to minimize the default risks.
Lei Ding +2 more
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