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.
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Results 773 resources
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We study the transmission channels from central banks’ quantitative easing programs via the banking sector when central banks start purchasing corporate bonds. We find evidence consistent with a “capital structure channel” of monetary policy. The announcement of central bank purchases reduces the bond yields of firms whose bonds are eligible for central bank purchases. These firms substitute bank term loans with bond debt, thereby relaxing banks’ lending constraints: banks with low tier-1 ratios and high nonperforming loans increase lending to private (and profitable) firms, which experience a growth in investment. The credit reallocation increases banks’ risk-taking in corporate credit.
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I use a new technique to derive a closed-form solution for the price of a European call option on an asset with stochastic volatility. The model allows arbitrary correlation between volatility and spot-asset returns. I introduce stochastic interest rates and show how to apply the model to bond options and foreign currency options. Simulations show that correlation between volatility and the spot asset's price is important for explaining return skewness and strike-price biases in the Black-Scholes (1973) model. The solution technique is based on characteristic functions and can be applied to other problems.
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We develop a tractable and flexible stochastic volatility multifactor model of the term structure of interest rates. It features unspanned stochastic volatility factors, correlation between innovations to forward rates and their volatilities, quasi-analytical prices of zero-coupon bond options, and dynamics of the forward rate curve, under both the actual and risk-neutral measures, in terms of a finite-dimensional affine state vector. The model has a very good fit to an extensive panel dataset of interest rates, swaptions, and caps. In particular, the model matches the implied cap skews and the dynamics of implied volatilities.
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We show that bond risk premia rise with uncertainty about expected inflation and fall with uncertainty about expected growth; the magnitude of return predictability using these uncertainty measures is similar to that by multiple yields. Motivated by this evidence, we develop and estimate a long-run risks model with timevarying volatilities of expected growth and inflation. The model simultaneously accounts for bond return predictability and violations of uncovered interest parity in currency markets. We find that preference for early resolution of uncertainty, time-varying volatilities, and non-neutral effects of inflation on growth are important to account for these aspects of asset markets.
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This article proposes a novel method of extracting the cost of default from the change in the market value of a firm's assets upon default. Using a large sample of firms with observed prices of debt and equity that defaulted over fourteen years, we estimate the cost of default for an average defaulting firm to be 21.7% of the market value of assets. The costs vary from 14.7% for bond renegotiations to 30.5% for bankruptcies, and are substantially higher for investment-grade firms (28.8%) than for highly levered bond issuers (20.2%), which extant estimates are based on exclusively. (JEL G21, G30, G33)
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This article provides a Markov model for the term structure of credit risk spreads. The model is based on Jarrow and Turnbull (1995), with the bankruptcy process following a discrete state space Markov chain in credit ratings. The parameters of this process are easily estimated using observable data This model is useful for pricing and hedging corporate debt with imbedded options, for pricing and hedging OTC derivatives with counterparts risk, for pricing and hedging (foreign) government bonds subject to default risk (e.g., municipal bonds), for pricing and hedging credit derivatives, and for risk management.
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This paper proposes a new simulation‐based approach for optimal portfolio allocation in realistic environments with complex dynamics for the state variables and large numbers of factors and assets. A first illustration involves a choice between equity and cash with nonlinear interest rate and market price of risk dynamics. Intertemporal hedging demands significantly increase the demand for stocks and exhibit low volatility. We then analyze settings where stock returns are also predicted by dividend yields and where investors have wealth‐dependent relative risk aversion. Large‐scale problems with many assets, including the Nasdaq, SP500, bonds, and cash, are also examined.
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Journals
- Journal of Finance (325)
- Journal of Financial Economics (237)
- Review of Financial Studies (211)
Topic
- Bond
- Capital Structure (7)
- CEO (5)
- Director (4)
- Mergers and Acquisitions (2)
Resource type
- Journal Article (773)
Publication year
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Between 1900 and 1999
(268)
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Between 1940 and 1949
(1)
- 1949 (1)
- Between 1950 and 1959 (10)
- Between 1960 and 1969 (25)
- Between 1970 and 1979 (64)
- Between 1980 and 1989 (63)
- Between 1990 and 1999 (105)
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Between 1940 and 1949
(1)
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Between 2000 and 2024
(505)
- Between 2000 and 2009 (133)
- Between 2010 and 2019 (246)
- Between 2020 and 2024 (126)