A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
- Topic classification is ongoing.
- Please kindly let me know [mingze.gao@mq.edu.au] in case of any errors.
Your search
Results 114 resources
-
Shadow bank market share in residential mortgage origination nearly doubled from 2007 to 2015, with particularly dramatic growth among online “fintech” lenders. We study how two forces, regulatory differences and technological advantages, contributed to this growth. Difference in difference tests exploiting geographical heterogeneity induced by four specific increases in regulatory burden–capital requirements, mortgage servicing rights, mortgage-related lawsuits, and the movement of supervision to Office of Comptroller and Currency following closure of the Office of Thrift Supervision–all reveal that traditional banks contracted in markets where they faced more regulatory constraints; shadow banks partially filled these gaps. Relative to other shadow banks, fintech lenders serve more creditworthy borrowers and are more active in the refinancing market. Fintech lenders charge a premium of 14–16 basis points and appear to provide convenience rather than cost savings to borrowers. They seem to use different information to set interest rates relative to other lenders. A quantitative model of mortgage lending suggests that regulation accounts for roughly 60% of shadow bank growth, while technology accounts for roughly 30%.
-
We explore the market for lending to start-ups and two mechanisms that facilitate trade within it: (1) the salability of patent collateral and (2) the credible commitment of equity investors. Intensified trading in the secondary patent market is strongly related to lending, particularly for start-ups with more redeployable patent assets. Utilizing the crash of 2000 as a severe and unexpected capital supply shock for venture capitalists, we further show that lenders continue to finance start-ups with recently funded investors better able to credibly commit to refinance their portfolio companies while withdrawing from otherwise promising projects that could have needed their funds the most.
-
I show that patents are pledged as collateral to raise significant debt financing, and that the pledgeability of patents contributes to the financing of innovation. In 2013, 38% of US patenting firms had previously pledged patents as collateral, and these firms performed 20% of research and development expense and patenting in Compustat. Employing court decisions as a source of exogenous variation in creditor rights, I show that patenting companies raised more debt, and spent more on R&D, when creditor rights to patents strengthened. Subsequently, these companies exhibited a gradual increase in patenting output and the use of patents as collateral.
-
The more the target knows about the bidder, the more difficult is paying the target with overpriced bidder shares. Thus, when bidders are opportunistic, the fraction of stock in the deal payment will be lower for better informed targets. We test this intuitive prediction against the alternative that stock payments primarily reflect bidder concerns with target adverse selection, which implies a greater fraction of stock in the deal payment for better informed targets. Discriminating between these two mutually exclusive and nested predictions requires measures of target information about the bidder but not of market mispricing. We find that public bidders systematically use more stock in the payment when the target knows more about the bidder. Tests exploiting exogenous variation in bidder market-to-book ratios also fail to support bidder opportunism. Finally, greater potential competition from private bidders is associated with greater propensity for public bidders to pay in cash.
-
I analyze investment, q, and cash flow in a tractable stochastic model in which marginal q and average q are identically equal. I introduce classical measurement error and derive closed-form expressions for the coefficients in regressions of investment on q and cash flow. The cash-flow coefficient is positive and larger for faster growing firms, yet there are no financial frictions in the model. I develop the concepts of bivariate attenuation and weight shifting to interpret the estimated coefficients on q and cash flow in the presence of measurement error.
-
Directors are not one-dimensional. We characterize their skill sets by exploiting Regulation S-K's 2009 requirement that U.S. firms must disclose the experience, qualifications, attributes, or skills that led the nominating committee to choose an individual as a director. We then examine how skills cluster on and across boards. Factor analysis indicates that the main dimension along which boards vary is in the diversity of skills of their directors. We find that firm performance increases when director skill sets exhibit more commonality.
-
What makes a successful CEO? We combine a near-exhaustive sample of male CEOs from Swedish companies with data on their cognitive and noncognitive ability and height at age 18. CEOs differ from other high-skill professions most in noncognitive ability. The median large-company CEO belongs to the top 5% of the population in the combination of the three traits. The traits have a monotonic and close to linear relation with CEO pay, but their correlations with pay, firm size, and CEO fixed effects in firm policies are relatively low. Traits appear necessary but not sufficient for making it to the top.
-
We study a controlled experiment in which a bank's loan officers were incentivized based on originated loan volume to encourage prospecting for new business. While treated loan officers did attract new applications, both extensive and intensive margins of loan origination expanded (+ 31% new loans; loan size + 15%). We find that loan officers gave greater weight to hard information in approval decisions. Despite no change in the observable characteristics of approved loans, their default rate increased (+ 24%). Finally, the bank's imputed credit default model lost its predictive power. Overall, loan prospecting incentives led to unfavorable soft information being overlooked in the origination process.
-
Capital Asset Pricing Model (CAPM) alpha explains hedge fund flows better than alphas from more sophisticated models. This suggests that investors pool together sophisticated model alpha with returns from exposures to traditional (except for the market) and exotic risks. We decompose performance into traditional and exotic risk components and find that while investors chase both components, they place greater relative emphasis on returns associated with exotic risk exposures that can only be obtained through hedge funds. However, we find little evidence of persistence in performance from traditional or exotic risks, which cautions against investors’ practice of seeking out risk exposures following periods of recent success.
-
We present new evidence that highlights the role of information intermediaries in the distribution and processing of earnings estimates in capital markets. We find that the time taken to activate an analyst's earnings forecast in the Thomson Reuters Institutional Brokers’ Estimate System is related to measures of investor demand for timely information processing, processing difficulty, and limited attention. Furthermore, we find that forecast announcement returns are muted and post-announcement drift is magnified for forecasts with longer unexpected activation delay and that market inefficiency is concentrated in neglected stocks and potentially exploitable. Finally, analyzing intraday returns, we find that activations facilitate price discovery.
Explore
Journals
Topic
- Bond (14)
- CEO (6)
- Mergers and Acquisitions (6)
- Director (4)
- Capital Structure (4)
Resource type
- Journal Article (114)