credit derivatives pricing with stochastic volatility models

... stochastic volatility models instead of the local volatility model.1 An extensive body of literature is devoted to stochastic volatility models2 , which include some named models, ... options with stochastic volatility with applications to bond and currency options, Review of Financial Studies, 6(2), 327-343. [31] Henry-Labordere, P. (2009): Calibration of local stochastic volatility ... stochastic volatility with the indirect inference method, Journal of Derivatives Accounting, 1(2), 177-186. [47] Stein, E.M., and J.C. Stein (1991): Stock price distributions with stochastic volatility:

Ngày tải lên: 09/09/2015, 11:15

... published in Finance & Stochastics, Vol IX (1) (2005) This paper is available at www.damianobrigo.it Credit Default Swaps Calibration and Option Pricing with the SSRD Stochastic Intensity and ... basic credit derivatives terms involving correlated CIR processes JEL classification code: G13 AMS classification codes: 60H10, 60J60, 60J75, 91B70 D Brigo, A Alfonsi: Credit derivatives with shifted ... two-dimensional shifted square-root diffusion (SSRD) model for interest rate derivatives and single-name credit derivatives, in a stochastic intensity framework The SSRD is the unique model, to the best

Ngày tải lên: 06/03/2014, 04:21

... of traded credit derivatives. In Section 4 these results are then applied to the pricing and the he dging of non-traded credit derivatives. It is shown that the price of most credit derivatives ... calibration, the pricing of e xotic credit derivatives and the computation of risk-minimizing hedging strategies. T he paper closes with a few numerical case studies. Keywords Credit derivatives, ... H  ¯ L t−  . Other credit derivatives such as CDS indices or typical basket swaps can be modelled in a similar way. Pricing of traded credit derivatives. Recall that we work with discounted quan- tities,

Ngày tải lên: 29/03/2014, 03:21

... Credit Derivatives [18], The Lehman Brothers Guide to Exotic Credit Derivatives [11] or ă Schonbucher’s Credit Derivatives Pricing Models [16] Master Thesis, Financial Economics Henrik Nordin ... the exposure to credit risk Prior to the development of credit derivatives institutions providing loans were stuck with their basket of credit risk until maturity of debt 2.1.4 Credit Default ... explanation of the two types of credit derivatives implemented within the model framework, the credit default swap and the default digital swap, will follow 2.1.1 Credit risk Financial institutions

Ngày tải lên: 11/12/2016, 20:36

... invariant models with Cobb – Douglas function 37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants 41 Table 4-4 Time invariant models with ... (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models ... and Coelli (1995) with two cases: with and without determinants The last four columns are the result of the models in Greene (2005) Columns [8] and [9] are the general forms with variables standing

Ngày tải lên: 29/11/2018, 00:02

... invariant models with Cobb – Douglas function 37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants 41 Table 4-4 Time invariant models with ... (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models ... and Coelli (1995) with two cases: with and without determinants The last four columns are the result of the models in Greene (2005) Columns [8] and [9] are the general forms with variables standing

Ngày tải lên: 01/09/2020, 13:55

... invariant models with Cobb – Douglas function 37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants 41 Table 4-4 Time invariant models with ... (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models ... and Coelli (1995) with two cases: with and without determinants The last four columns are the result of the models in Greene (2005) Columns [8] and [9] are the general forms with variables standing

Ngày tải lên: 17/09/2020, 08:25

... invariant models with Cobb – Douglas function 37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants 41 Table 4-4 Time invariant models with ... (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models ... and Coelli (1995) with two cases: with and without determinants The last four columns are the result of the models in Greene (2005) Columns [8] and [9] are the general forms with variables standing

Ngày tải lên: 10/10/2020, 11:15

... invariant models with Cobb – Douglas function 37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants 41 Table 4-4 Time invariant models with ... (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models ... and Coelli (1995) with two cases: with and without determinants The last four columns are the result of the models in Greene (2005) Columns [8] and [9] are the general forms with variables standing

Ngày tải lên: 31/12/2020, 10:28

... invariant models with Cobb – Douglas function 37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants 41 Table 4-4 Time invariant models with ... (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models ... and Coelli (1995) with two cases: with and without determinants The last four columns are the result of the models in Greene (2005) Columns [8] and [9] are the general forms with variables standing

Ngày tải lên: 17/07/2022, 09:18

... invariant models with Cobb – Douglas function .37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants .41 Table 4-4 Time invariant models with ... Analysis (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models ... similar tomodels a half-normal bc88 bc92 bc95 (without det.) bc95 (with det.) Cobb-Douglas function -9.17 -0.136 -0.05 Translog function -0.055 with truncatedn/a Table – 6: -4.02 Value of � in models

Ngày tải lên: 01/10/2022, 00:03

... invariant models with Cobb – Douglas function 37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants 41 Table 4-4 Time invariant models with ... (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models ... and Coelli (1995) with two cases: with and without determinants The last four columns are the result of the models in Greene (2005) Columns [8] and [9] are the general forms with variables standing

Ngày tải lên: 05/12/2022, 14:37

... invariant models with Cobb – Douglas function 37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants 41 Table 4-4 Time invariant models with ... estimated simultaneously with the Stochastic Frontier Stochastic frontier model with panel data There are three problems arising while we use stochastic frontier model with cross sectional data ... (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models

Ngày tải lên: 03/02/2023, 17:43

... Table 4-4 Time invariant models with Translog function 43 al ua Table 4-5 Time varying models with Translog function 44 n Table 4-6 Value of μ in models with truncated distribution ... and Stochastic Frontier Analysis (SFA) pl The cross-sectional Stochastic Frontier Model 12 al n ua Stochastic frontier model with panel data 15 va 4.1 Time-invariant models ... with technical inefficiency effects was created by Battese and Coelli (1995) which allows technical inefficiency to vary with time and other determinants with panel-data stochastic frontier models

Ngày tải lên: 31/07/2023, 09:36

... invariant models with Cobb – Douglas function 37 Table 4-2 Time varying models with Cobb – Douglas function 39 Table 4-3 Determinants 41 Table 4-4 Time invariant models with ... (DEA) and Stochastic Frontier Analysis (SFA) The cross-sectional Stochastic Frontier Model 12 Stochastic frontier model with panel data 15 4.1 Time-invariant models ... and Coelli (1995) with two cases: with and without determinants The last four columns are the result of the models in Greene (2005) Columns [8] and [9] are the general forms with variables standing

Ngày tải lên: 04/09/2023, 00:42

... correct class with the help of context knowledge. Broadly speaking, there exists a con- tinuum of contextual models for image region classification. On one end, one would find explicit models like ... that the above-mentioned aspect models can be directly applied to patch classification, since specific aspects, although learned without class information, corre- late with the classes of interest. ... results. In the final stage of preparing this manuscript, new models were put forward to segment images by combining latent aspect models with quantized local patches. Cao and Fei-Fei presented a

Ngày tải lên: 22/06/2014, 00:20

... equilibrium points of 4.22 by stochastic perturbations with σ 0.7 In Figure 21 trajectories of solutions are shown for p 2, q 1 the point E in Figure 16 with the initial conditions x−1 ... point of equilibrium of Nicholson’s blowflies equation with stochastic. .. conditions of asymptotic mean square stability for stochastic linear difference equations, ” Applied Mathematics ... nonlinear stochastic difference equations, ” Applied Mathematics Letters, vol 13, no 5, pp 27–32, 2000 48 L Shaikhet, Stability in probability of nonlinear stochastic systems with delay,”

Ngày tải lên: 22/06/2014, 11:20

... variation of within-ring density components in commer- cial logs in connection with tree growth defined by age from the pith and ring width. First, models of within-tree ... is positively associated with mechanical strength and shrinkage [20, 25]. Because of the large anatomical radi- al variability within oak rings, the within-ring density components, ... Original article Modelling variability of within-ring density components in Quercus petraea Liebl. with mixed-effect models and simulating the influence of contrasting

Ngày tải lên: 08/08/2014, 14:21

... on op- tion pricing with time-varying volatility. Many authors have proposed to model asset return dynamics using the so-called stochastic volatility (SV) models. Examples of these models in continuous-time ... straightforward for constant conditional volatility models with closed form option pricing formula, but involves two problems for stochastic conditional volatility models. First, when the closed form ... that the adjustment of stochastic volatility risk alters only the drift term 30 Table 6.5: Relative Pricing Errors (%) of Alternative Models with Diversifiable Stochastic Volatility Risk Moneyness...

Ngày tải lên: 21/12/2013, 01:20

... option. By the use of credit derivatives, the credit risk can be removed from the balance sheet without having to sell the risky asset. This general tendency in the credit derivatives market was ... that market participants can “go long credit risk” without a cash payment, and they can “go short credit risk” with less difficulty and at lower cost than with corporate bonds. 2.2.2 CDS Indices While ... contributing factor to the growth in the credit derivatives market is the high regulatory demand on the credit risk control side. Major groups participating in the market for credit derivatives are banks, insurance...

Ngày tải lên: 07/03/2014, 19:20