Maximum Likelihood Estimation of Latent Affine Processes
By David S. Bates. 2006
140 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Finance
View Paper: https://www.semanticscholar.org/paper/119f0a546677b08dd5af3e59b34d4429b3f62521
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In Finance
- Lasse Heje Pedersen
- Nicolae Gârleanu
- Allen M. Poteshman
- Zhiguo He
- Arvind Krishnamurthy
- Darrell Duffie
- Angelo Ranaldo
- Bryan T. Kelly
Citations in the corpus
- Demand-Based Option Pricing (2009, background): “Building on the seminal contributions of Black and Scholes (1973) and Merton (1973), a large literature develops various parametric implementations of the theory.”
- Analytically pricing European-style options under the modified Black-Scholes equation with a spatial-fractional derivative (2014, unknown): “In particular, the Bates formula [1] will be adopted for comparison purposes.”
- The Time Variation in Risk Appetite and Uncertainty (2019, unknown): “We again use the approximate MLE of Bates (2006) to estimate the model parameters.”
- Realizing smiles: Options pricing with realized volatility (2013, unknown): “…a variety of models have been developed to include jumps in returns (see Merton (1976), Bates (1996), Bates (2000), Pan (2002), Huang (2004) and Bates (2006) in continuous-time and Maheu and McCurdy (2004), Duan et al. (2006) and Christoffersen et al. (2010b) in discrete-time) and jumps in…”
- Dynamic jump intensities and risk premiums: Evidence from S&P500 returns and options (2012, unknown): “…lz 1 2 hz,tþ1þðly xÞhy,tþ1 þztþ1þytþ1, ð1Þ 1 For other empirical estimates of jump processes in the SVJ literature using returns and/or options, see, for example, Bates (2000, 2006), Andersen, Benzoni, and Lund (2002), Pan (2002), Huang and Wu (2004), Eraker, Johannes, and Polson (2003),…”