finmath lib Release Notes
Release Notes
5.0.3 (05.07.2020)
General
 Added some convenient methods in AnalyticFomulas consuming RandomVariable parameters.
 Interface RandomVariable contains convenient default methods for variance and covariance.
 TimeDiscretization can be used as DoubleStream.
MonteCarlo Single Asset Model
 MonteCarloBlackScholesModel extends MonteCarloAssetModel
5.0.2 (12.06.2020)
General
 Minor improvements (additional c’tors).
Random number generators
 Added some quasi random number generators.
5.0.1 (10.05.2020)
Numerical Integration
 Exact integration of functions of piecewise constant functions (useful for intensity models). See
net.finmath.integrationnet.finmath.integration.PiecewiseContantDoubleUnaryOperator
.
Analytic valuation models
 CDS valuation (contributed by Matthias Föhr).
5.0.0 (12.04.2020)
 Refactoring and cleanup (deprecation) from 4.1.8. See migration/4.1.xto5.0.0.
MonteCarlo Simulation Models
 The state space transform is time dependent, i.e., has timeIndex as addition argument. This allows more accurate numerical schemes.
 The
ProcessModel
has to be passed as the first argument to the methodsgetInitalState
,getDrift
,getFactorLoading
,applyStateSpaceTransfrom
.
4.1.8 (12.04.2020)
General
 RandomOperator is a synonym for Function<RandomVariable,RandomVariable>
 RandomVariables come with apply(RandomOperator).
Analytic Formulas
 More convenient variants of Bachelier formula (classic, homogeneous, inhomogeneous).
Interest Rate Models (MonteCarlo)
 Generic CrossCurrency LIBOR Market Model (with generic quanto adjustment).
 LIBOR Market Model with SABR and ZABR stochastic volatility (unit test).
 Improve analytic calibration of normal LIBOR Market Model.
Equity Models (MonteCarlo)
 Reworked MonteCarlo implementation of Displaced Lognormal Models.
4.1.7 (22.03.2020)
General
 Prepearation of the refactoring introduces in 5.0. The
ProcessModel
andMonteCarloProcess
model do not hold a reference to the process anymore. Instead, a reference to theProcessModel
has to be passed as the first argument of methods likegetInitalState
,getDrift
,getFactorLoading
. Starting with version 4.1.4 of the library default implementations of these methods are introduces while the old methods are marked as deprecated. For a guideline of migrating any implementation see migration/4.1.xto5.0.0.
Random Number Generators
 An interface
net.finmath.randomnumbers.RandomNumberGenerator1DRandomNumberGenerator1D
has been added, using default implementation to extendnet.finmath.randomnumbers.RandomNumberGenerator1DRandomNumberGenerator
.
Fourier Methods
 Variance Gamma model (contributed and maintained by Alessandro Gnoatto)
4.1.2
General
 Moved site to GitHub pages.
 Improved JavaDoc.
 Improved Documentation.
4.1.1
General
 Improved toString() for nicer output in jshell
Refactorings

Removed deprecated methods (setXxx) in AnalyticModel  the class is now immutable

Refactoring rename RandomVariableDifferentiableFactory: AbstractRandomVariableDifferentiableFactory extract interface RandomVariableDifferentiableFactory
4.1.0 (26.01.2020)
General
 Clean up. Arguments of methods are final (when possible).
Refactorings
 Refactoring rename RandomVariableFactory: RandomVariableFactory to RandomVariableFromArrayFactory
 Refactoring rename RandomVariableFactory: AbstractRandomVariableFactory extract interface RandomVariableFactory

Refactoring rename Notional: Notional to NotionalFromConstant
 Refactoring rename Notional: AbstractNotional to Notional

Refactoring rename SwaptionMarketData: SwaptionMarketData to SwaptionATMMarketDataFromArray
 Refactoring rename SwaptionMarketData: AbstractSwaptionMarketData to SwaptionMarketData
Documentation
 Added documentation of Model and Product interfaces.
 Added script (Eclipse) for refactorings 4.0.x to 4.1.0
 Added documentation for refactorings 4.0.x to 4.1.0
Interest Rate Models (Analytic)
 Added code for caplet bootstrapping and caplet volatility tenor conversion.
4.0.15 (26.01.2020)
General
 Minor clean up.
Market Data
 Discount Curves carry a reference date.
MonteCarlo Simulation / AAD
 Added PREDICTOR_CORRECTOR_FUNCTIONAL scheme, being compatible with AAD.
Interest Rate Models  MonteCarlo Simulation
 Changed scaling of numeraire if default curve is given for measures where N(0) is not equal to 1.
4.0.13 (05.10.2019)
General
 Added some constructors for convenience.
MonteCarlo Simulation / AAD
 Improved compatibility with AAD valuations  EULER_FUNCTIONAL is default in Euler scheme.
4.0.12 (02.06.2019)
Fourier Methods (contributed and maintained by Prof. A. Gnoatto)
 Variance Gamma Model: Fourier and MonteCarlo implementations for the Variance Gamma Model.
Interest Rate Models  Analytic and SemiAnalytic (this part is still under development / refactoring)  see net.finmath.singleswaprate
 SABR Volatility Cube Calibration (contributed by Roland Bachl)
 CashSettled Swaption and CMS Valuation via Replication using different Annuity Mappings (contributed by Roland Bachl)
Interest Rate Models  MonteCarlo Simulation
 Improved implementation of the Bermudan Swaption. See
BermudanSwaptionFromSwapSchedules
.
4.0.11 (22.04.2019)
General
 The
net.finmath.time.TimeDiscretizationFromArray
comes with an additional (optional) argument to allow duplicate simulation time discretization points (i.e., time step sizes of 0) (this is useful to ensure pathconsistent MonteCarlo simulations).
Market Data / Curves
 Allowing access to interpolation points for interpolated curve.
Fourier Methods (contributed and maintained by Prof. A. Gnoatto)
 Implementation of the Merton Model. See
net.finmath.fouriermethod.models.MertonModel
.
MonteCarlo Simulation

The LIBOR Market Model () and the Hull White Model () may be used with simulation time discretizations having duplicate entries (this is useful to ensure pathconsistent MonteCarlo simulations).

Introduced
MonteCarloConditionalExpectationRegressionFactory
.
Single Asset (Equity/FX) Models  MonteCarlo Simulation
 Implementation of the Variance Gamma Process (contributed and maintained by Prof. A. Gnoatto). See
net.finmath.montecarlo.VarianceGammaProcess
.
Interest Rate Models  MonteCarlo Simulation
 Improved implementation of the Bermudan Swaption allowing arbitrary swap schedules (consistent with AnalyticModel) and injection of custom method for estimation of conditional expectation. See
BermudanSwaptionFromSwapSchedules
.
4.0.9 (07.04.2019)
General

Introduced the interface
net.finmath.montecarlo.process.ProcessTimeDiscretizationProvider
which can be implemented by products to give a hint on a preferred time discretization of a model. 
Stricter checkstyle rules: checking for visibility of filed. Fields have to be private.
Market Data

Improved serialization for ScheduleDescriptors.

Improved serialization for Swaps.
Interest Rate Models

Added
net.finmath.montecarlo.interestrate.products.BermudanSwaptionFromSwapSchedules
 an implementation of a MonteCarlo valuation of a Bermudan swaption using exact swap schedules. 
SwaptionFromSwapSchedules
implementsProcessTimeDiscretizationProvider
. 
BermudanSwaptionFromSwapSchedules
implementsProcessTimeDiscretizationProvider
.
4.0.8 (31.03.2019)
Interest Rate Models
 Added
net.finmath.montecarlo.interestrate.products.SwaptionFromSwapSchedules
 an implementation of a MonteCarlo valuation of a swaption based on swap schedules, being compatible with AAD.
4.0.7 (24.03.2019)
General

The
getCloneWithModifiedData
allows to create a copy of models with modified random variable factory. This allow to create AAD enabled models from model without AAD support. The typical use is to perform a model calibration without AAD random variables, then inject the AAD dependency and calculate sensitivities. 
Minor updates to documentation.
Interest Rate Models
 Added support for different interest rate curve interpolation methods.
4.0.5 (27.01.2019)
General
 Some minor refactorings:
CurveFromInterpolationPoints
renamed toCurveInterpolation
. Fixed typo in class name
AnalyticModelFromCurvesAndVols
.
Algorithmic Differentiation / Interest Rate Models
 The Hull White Model (
HullWhiteModel
) and the Short Rate Volatility Models (implementingShortRateVolatilityParametricModel
support objects implementingRandomVariable
as parameters. This enables the model to use Algorithmic Differentiation and Adjoint Algorithmic Differentiation.
Interest Rate Models
 A unit test for the calibration of the HullWhite model has been added.
4.0.1 (20.01.2019)
General

Refactoring of names. Interfaces come with plain names like
RandomVariable
while implementation come with implementation details as inRandomVariableFromDoubleArray
. Details can be found in docs/refactoring3.6.xto4.0.0. 
Refactoring of
RandomVariable
. Removed deprecated methods: The methodbarrier
has been removed from RandomVariable. Usechoose
instead. 
Refactoring: Interest rate model plugins (covariance models). Refactoring of methods: the method
getParameter
returns aRandomVariable[]
to allow for generic parameters, possibly enabling AAD. A method getParameterAsDoubleArray is provided for convenience in case the random variable parameter is deterministic. 
The packages
net.finmath.montecarlo.interestrate.models.modelplugins
andnet.finmath.montecarlo.interestrate.models.covariancemodels
have been merged. The resulting package has been renamed tonet.finmath.montecarlo.interestrate.models.covariance
. 
Refactoring: Package hierarchy. 1) A package
net.finmath.montecarlo.interestrate.models
is introduced. The classes implementingProcessModel
(or extendingAbstractProcessModel
) for theHullWhiteModel
and LMM are moved into this package (fromnet.finmath.montecarlo.interestrate
). The packages covariancemodels, modelplugins, factordrift are moved into this package. 2) A packagenet.finmath.montecarlo.assetderivativevaluation.models
is introduced. The classes implementing ProcessModel (or extendingAbstractProcessModel
) for theBlackScholes
,Bacheler
,Merton
,Bates
, etc. are moved into this package (fromnet.finmath.montecarlo.assetderivativevaluation
).
Linear Algebra
 Added solve linear equation with Tikhonov regularization.
3.6.3 (15.01.2019)
General
 Some interfaces have default methods to allow compatibility with the 4.0.0 classes
HullWhite Model
 Added generic calibration of HullWhite model (adaption of the LMM calibration) (adaption contributed by Ruben).
3.6.2 (29.12.2018)
General
 Added interface for models which generically report the independent model parameters.
Automatic Differentiation
 Added unit test showing the generic calculation of sensitivities (implicit function theorem).
3.6.1 (02.12.2018)
Automatic Differentiation

Added unit test for AAD delta in LIBOR Market Model.

The behavior of the differentiation of discontinuities can be controlled by the keys
diracDeltaApproximationMethod
,diracDeltaApproximationWidthPerStdDev
,diracDeltaApproximationDensityRegressionWidthPerStdDev
; 
The key
barrierDiracWidth
is deprecated and replaced bydiracDeltaApproximationWidthPerStdDev
.
3.6.0 (25.11.2018)
General
 The
choose
method has been added to the RandomVariableInterface.  The
barrier
method has been marked deprecated in RandomVariableInterface.
Automatic Differentiation
 Setting the property
barrierDiracWidth
toDouble.POSITIVE_INFINITY
results in a replacement of the derivative of the indicator function by 1. This option will be useful in an accurate estimation of the derivative of the indicator function.  Implementation of the density regression for the derivative of indicator functions, see https://ssrn.com/abstract=3282667
3.5.0 (04.11.2018)
LIBOR Market Model
 The LIBORMarletModel provides the numeraire adjustments through a method. This method
is required for  e.g.  a sensitivity based calculation of an MVA.
3.4.4 (02.11.2018)
General
 Minor bug fixes (NPE in toString() method in AnalyticModel if referenceDate is missing).
 Merged with development branch of product descriptors: added initial version of FPML parser.
LIBOR Market Model
 Improved performance and consistency of numeraire interpolation.
 Ensured that numeraire cache is thread safe (only relevant when using automatic differentiation)
3.4.0 (23.09.2018)
Adjoint Algorithmic Differentiation
 Added Automatic Type Tracking / Operator Result Type Priorities to RandomVariableInterface implementations. For details on the concet of “Operator Result Type Priorities” see https://ssrn.com/abstract=3246127
 Improved test coverage: adding forward mode differentiation to some parametrized unit test.
3.3.4 (07.09.2018)
Adjoint Algorithmic Differentiation
 Fixed bug in the implementation of floor operator.
 Improved unit test for vega test.
 Preparations for Operator Result Type Priorities.
3.3.3 (02.09.2018)
General
 Fixed typos.
MonteCarlo Simulation
 Added the interface RegressionBasisFunctionProvider for American MonteCarlo algorithms.
 Added the ability to use products implementing AbstractMonteCarloProduct as regression basis functions.
MonteCarlo Interest Rate Models
 The Option component allows specification of a RegressionBasisFunctionsProvider.
LIBOR Market Model
 The LIBORIndex supports automatic adjustment of a tenor basis spread if the index name relates to a curve in the LIBOR market model analytic model.
 Added a unit test for the LIBORIndex testing the value of a FRA on different forward curves.
3.3.2 (29.07.2018)
General
 Minor improvements.
 Fixed an incompatibility in the LIBOR Market Model spreadsheet.
3.3.1 (22.07.2018)
General
 Integrated finmathlibautomaticdifferentiationextensions (1.1.0) into finmathlib.
3.2.17 (19.07.2018)
Interest Rate Products
 Added additional features to Bermudan Swaption, Swaption and Swap to support initial margin project. The Bermudan swaption reports the stochastic exerciseTime in the result map.
3.2.14 (16.07.2018)
General
 Requiring some checkstyle checks to be passed.
 Improving API documentation (JavaDoc).
 Improvements to TimeDiscretizationInterface and TimeDiscretization (see pull request #60).
 More unit tests.
LIBOR Market Model
 Small internal change: Introduced interface LIBORCovarianceModelCalibrateable and changed argument calibrationTargetValues to RandomVariableInterface[]. This step was just to ease the integration of the AAD calibration, where the getParameters method of the covariance models results in a RandomVariableInterface[].
3.2.11 (07.07.2018)
General
 Clean up and improvements to JavaDoc.
MonteCarlo Simulation
 Added algorithm implementing acceptance rejection method.
3.2.10 (30.06.2018)
Modelling / Interfaces
 Clean up of the model hierarchy.
Model and Product Interfaces
 Partially reverting the refactoring from 3.2.0 (removing type parameter from model and product interfaces). Adding dedicated interfaces
DecribedProduct<T extends ProductDescriptor>
andDecribedModel<T extends ModelDescriptor>
for model and products allowing construction from product descriptors. For details see concepts “separation of product and model”.  The interface
net.finmath.modelling.Model<T extends ModelDescriptor>
has been renamed/refactored tonet.finmath.modelling.ModelInterface
.  The interface
net.finmath.modelling.Product<T extends ProductDescriptor>
has been renamed/refactored tonet.finmath.modelling.ProductInterface
.  Adding (extracting) additional interfaces
DescribedModel<T extends ModelDescriptor>
andDescribedProduct<T extends ProductDescriptor>
.
Finite Difference Methods
 Merged initial version of the finite difference methods.
 Added a unit test illustrating the use of model descriptors and product descriptors for a BlackScholes model and a European option on a MonteCarlo, FourierTransform, and FiniteDifferenceMethodFactory.
Documentation
 Model and product interfaces are described in concepts “separation of product and model”.
3.2.5 (09.06.2018)
Market Data: Bond Curves
 Added implementation for Bond curve calibration via Local Linear Regression (see https://ssrn.com/abstract=3073942 ). See package net.finmath.marketdata.model.bond
LIBOR Market Model
 Fixed an inconsistency in the LMM curve interpolation. The LMM curve interpolation is now 100% consistent with the interpolation of the provided forward/discount curve, given that the forward curves allows for an interpolation on short periods (Note: not all forward curves allow this, positive example are forward curves from discout curves and NSS curves).
3.2.3 (10.05.2018)
LIBOR Market Model
 LIBOR Volatility and Correlation models are immutable.
The method setParameter
has been replaced by getCloneWithModifiedParameter
.
Instead of
newModel = model.clone(); newModel.setParameter(parameter);
call
newModel = model.getCloneWithModifiedParameter(parameter);
3.2.2 (05.05.2018)
MonteCarlo Simulation
 API Change: The implementation of the method getQuantile of RandomVariableInterface has been changed to comply with its JavaDoc. In case backward compatibbility is requied replace getQuantile(x) by getQuantile(1.0x)
 Performance improvement by caching of SVD solver. This has some relevance for the valuation of forward sensitivities or MVA, see https://ssrn.com/abstract=3018165
 Small improvement to exception message.
LIBOR Market Model
 Fixed bug which could lead to race condition when performing a multithreadded calibration of the correlation.
 LMM covariance model is serializable using Java standard serializer.
General Improvements
 Improved JavaDoc.
 Updated maven plugins.
3.2.0 (18.02.2018)
General Refactoring  Interfaces (see Concepts / Separation of Model and Products)
 The interface
net.finmath.modelling.ModelInterface
has been renamed/refactored tonet.finmath.modelling.Model<T extends ModelDescriptor>
. This is related to the introduction of ModelDescriptors and ProductDescriptors. The interface was previously a marker interface, but now comes with two methods.  The interface
net.finmath.modelling.ProductInterface
has been renamed/refactored tonet.finmath.modelling.Product<T extends ProductDescriptor>
. This is related to the introduction of ModelDescriptors and ProductDescriptors. The interface was previously a marker interface, but now comes with two methods.  Classes implementing the interface
Product<T>
require a type parameterization, example:AbstractMonteCarloProduct<T extends ProductDescriptor> implements Product<T>
 Heston model may be constructed by a model descriptor. See
net.finmath.modelling.descriptor.HestonModelDescriptorTest
for an example.
3.1.5 (05.11.2017)
MonteCarlo models
 Small performance improvement for MonteCarlo models. RandomVariable implementation avoids use of apply.
3.1.3 (28.10.2017)
Analytic models  Curves
 Added serializability. For example for AnalytModel and curves. The AnalyticModel may be serialized to disk and loaded from disk. This is useful in curve calibration spreadsheets.
3.1.0 (30.09.2017)
MonteCarlo models
 RandomVariableInterface gets an additional method doubleValue() which will return the value of random variable if it is deterministic. So instead of getAverage() you may call average().doubleValue(). This addition is to allow the consistent use of deterministic random variables in analytic model. The advantage of this approach is the possibility of dependency injection (using stochastic automatic differentiation) and the possiblity to use stochastic quantities in analytic models (“stochastic curves”).
Analytic models  Curves
 Introduction of “stochastic curves”. The package net.finmath.analytic is a port of net.finmath.marketdata where all curve object operate on RandomVariableInterface. This allows AAD calibration and “stochastic curves”.
Optimizer
 Introduction of the stochastic Levenberg Marquardt algorithm.
3.0.14 (20.08.2017)
MonteCarlo models
 AbstractModelInterface requires the inverse of the statespacetransform. This enables ProcessEulerScheme to construct a sequential dependency structure (this is useful for AAD).
 ProcessEulerScheme offers the scheme EULER_FUNCTiONAL (constructs a sequential dependency structure (this is useful for AAD))
Valuation using Fourier transforms
– Added discount rate as optional parameter to Heston and Bates model.
3.0.12 (19.08.2017)
Valuation using Fourier transforms
 Added characteristic function of Heston model  allows semianalytic valuation of option prices under Heston model.
 Added characteristic function of Bates model  allows semianalytic valuation of option prices under Bates model.
Support for finmathlib automatic differentiation extensions: Interface chances to RandomVariableInterface and MonteCarlo models
 Minor changes to RandomVariableInterface to support the finmathlib automatic differentiation extensions.
 Minor changes to RandomVariableFactories to support the finmathlib automatic differentiation extensions.
 MonteCarlo models may now take their own factory for RandomVariableInterface objects. This allows injection of AAD capable random varaibles.
 Minor changes to BermdanOption valuation to support the finmathlib automatic differentiation extensions.
Improvements
 Fixed a scaling issue in the conditional expectation estimations, improving the result of products using the Option component.
Other
 Java 8 version is the default in the Eclipse .classpath file.
3.0.0 (27.05.2017)
Java 6 version of finmathlib switched from jodatime to threetenbackport
 The Java 6 version of finmathlib switches from jadotime to threetenbackport for the implementaton of LocalDate. This reduces the difference between the Java 6 code base and the Java 8 code base.
 The Java 8 version is not affected.
 The 2.4.x version using the jodatime version of LocalDate is maintained on the branch named “2.4.x”
Introducing a dedicated class for the conversion between LocalDate and Double.
 Finmath lib allows to use Double to specify dates/times and date/timeintervals. The motivation of this is to allow a simplified “textbooklike” definition of models, which is often sufficient for research purposes.. With respect to industry/practical applications it is often necessary to consider exact datebased measurment of time, e.g. using daterolling and daycount conventions. To achive a clear 1:1 mapping, the library fixes a conversion given by a) a reference date and b) a daycount convention (ACT/365).
 The conversion from LocalDate to Double is centralized in the class FloatingpointDate.
 The motivation for ACT/365 is performance (easy conversion). Apart from this there is no specific reason except the need to make some choice.
2.4.4 (20.05.2017)
Introducing a dedicated class for the conversion between LocalDate and Double.
 Finmath lib allows to use Double to specify dates/times and date/timeintervals. The motivation of this is to allow a simplified “textbooklike” definition of models, which is often sufficient for research purposes.. With respect to industry/practical applications it is often necessary to consider exact datebased measurment of time, e.g. using daterolling and daycount conventions. To achive a clear 1:1 mapping, the library fixes a conversion given by a) a reference date and b) a daycount convention (ACT/365).
 The conversion from LocalDate to Double is centralized in the class FloatingpointDate.
 The motivation for ACT/365 is performance (easy conversion). Apart from this there is no specific reason except the need to make some choice.
2.4.2 (05.02.2017)
Bug fixes and improvements
 Invalidating numeraire caches if model is used with a different (new) process.
 Fixed a failure of date lookup in CapletVolatilityParametric (rare).
2.4.1
MonteCarlo Interest Rate Model: Term Structure Model with Time Dependent Tenor Discretization
 Added sample implementation of a term structure model with time dependent tenor discretization (see http://ssrn.com/abstract=2884699 ).
 Added calibration of term structure model
MonteCarlo Interest Rate Model: LIBOR Market Model
 Refactoring: The objects implementing AbstractLIBORCovarianceModelParametric have become immutable. The method setParameter has been removed and replaced by a method getCloneWithModifiedParameter. This allows a performance increase, since in a calibration it is now safe to reuse parts of the model, given that parts of a parameter (e.g. correlation) has not changed.
 Refactoring: The method getLIBOR(double, double, double) performing the interpoation on the tenor structure has been moved from LIBORModelMonteCarloSimualtionInterface to LIBORModelInterface. This allows to have different models implement different interpolation methods (e.g. LMM versus HullWhite). This chance is also motivated by the introduction of LIBOR models with time dependent tenor discretizations.
Optimizer
 LevenbergMarquardt algorithm will stop if improvement is smaller than given accurarcy. Previously the solver was running more interations than required.
2.4.0
Market Data / Schedule Generation
 Added (optional) endofmonth schedule generation to the ScheduleGenerator.
Note: This includes a small change in the schedule generation when schedules are generated as rolling up/down from a 29th, 30th or 31st.
2.3.6
SABR Model
 Added analytic formulas for SABR skew and SABR curvature.
2.3.4
Market Data / Curve Calibration
 Added valuation of Resettable Cross Currency Swap (aka MarktoMarket Cross Currency Swap).
2.3.0
Dependencies
 Adding jblas 1.2.4 for LinearAlgebra.
Since the implementation of commonsmath matrix solver is sometimes noticable slower, we switched to jblas. Note that jblas is used by default, but you may use commonsmath instead by setting the property net.finmath.functions.LinearAlgebra.isUseApacheCommonsMath to true.
Note that jblas is currently not an OSGi bundle. I try to work on that.
2.2.6
 Cleanup
2.2.5
Random Number Generators
 Addes Poisson distribution for jumpdiffusion processes.
 Added class IndependentIncrements allowing to create mixed process increments (Brownian increments and jump process increments). See Merton model for a demo.
Market Data / Interest Rates Curve / MultiCurve
 Added Deposit (may be used as calibration product in multicurve calibration)
 Added FRA (may be used as calibration product in multicurve calibration)
Equity / Single Asset Models
 Added Merton model (MonteCarlo simulation)
 Added Heston model (MonteCarlo simulation)
 Added hedge simulation based on meanvariance hedging (using American MonteCarlo / regression).
Other
 Some demo spreadsheets have been added at finmathspreadsheets.
2.2.2
General
 Added OSGi MANIFEST file
2.2.0
Dependencies
 Replaced colt1.2.0 by apache commonsmath3.6.1.
Since the implementation of MersenneTwister in commonsmath differs from that in colt, this change will lead to small changes in MonteCarlo valuations. Since the implementation of linear equation solver in commonsmath differes from that in colt, this change will lead to (very) small changes in calibration parameters.
The switch from colt1.2.0 to commonsmath was necessary to obtain OSGi compliant setup.
Analytic Formulas
 Added analytic conversion from lognormal to normal (ATM) volatility.
2.1.1
MonteCarlo Simulation of Interest Rate Models
HullWhite Model
 Improved implementation and unit testing. Implementation now uses Browninan motion as a factory for RandomVariableInterface objects.
2.1.0
MonteCarlo Simulation of Interest Rate Models
Interfaces
 From the interface
LIBORMarketModelInterface
the narrower interfaceLIBORModelInterface
has been extracted, leaving the methods related to the covariance model toLIBORMarketModelInterface
only. The methodgetModel()
ofLIBORModelMonteCarloSimulationInterface
now returns aLIBORModelInterface
interface only. In case your code requires access to the covariance model, you have to check forLIBORMarketModelInterface
(see the code ofgetValue
inSwaptionAnalyticApproximation
for an example).
HullWhite Model
 Added implementation of a MonteCarlo simulation of the HullWhite model.
LIBOR Market Model
 Added LIBOR Market Model (LMM) local volatiltiy model to generate HullWhite model dynamic in an LMM
2.0.3
 Some internals may be configured via Java system properties.
 A bug introduce in 2.0.0 in
DayCountConvention_30U_360
in the Java 6 branch has been fixed
2.0.2
 The CalibrationItem of CalibratedCurves may now carry a symbol to create a shifted model (for calculation of sensitivities using finite differences).
2.0.0

API Change: The type java.util.Calendar has been replaced by LocalDate:
 For Java 6 sources (src/main/java6): Replaced Calendar and Date by org.joda.time.LocalDate.
 For Java 8 sources (src/main/java): Replaced Calendar and Date by java.time.LocalDate, contributed by William Wong.

API Change: The DateIndex in net.finmath.montecarlo.interestrate.products.indices now returns the month according to java.time.Month, i.e., January = 1, February = 2, etc.
1.3.6
Swaps
 Additional constructor for Swap (using SwapLegs).
Monte Carlo
 BrownianMotion allows to use a custom AbstractRandomVariableFactory. Useful to switch to single precision floating point numbers (to save memory).
 ProcessEulerScheme has an addition constructor (to directly construct a predictor corrector scheme).
 Swaption is now compatible multicurve LMM (using collateral curve).
Exposure
 Exposure has been renamed to ExposureEstimator (since it is just an estimator, see the corresponding unit test for an application).
 Improved the unit test ExposureTest.
Volatility
 Added SABR analytic approximations to net.finmath.functions.AnalyticFormulas
 BrownianMotion allows to use a custom AbstractRandomVariableFactory. Useful to switch to single precision floating point numbers (to save memory).
Other
 Constructor for trapezoidal rule using equidistant grid.
1.3.5
 Added trapezoidal rule to net.finmath.integration and corresponding unit test.
1.3.4 and earlier
Please check the subversion or git log messages.