Code Monkey home page Code Monkey logo

acq's Introduction

ACQ - Excel Add-in for interpolation (and other things)

uses Excel-DNA, https://exceldna.codeplex.com/ (https://github.com/Excel-DNA)

Abstract

ACQ is lightweight .NET add-in that adds interpolation routines to Excel. It is open source and free to use for any purpose. Add-in is based on Excel-DNA, and uses .NET 4.0.

The distribution contains:

1. 32-bit and 64-bit versions of add-in: ACQ32.xll, ACQ64.xll
2. Excel spreadsheet with examples of add-in functionality: Demo.xlsx
3. Description of numerical methods used in add-in: Primer.pdf 

Installation

In order to install ACQ add-in follow the installation procedures for Custom Add-ins: https://support.office.com/en-us/article/Add-or-remove-add-ins-0af570c4-5cf3-4fa9-9b88-403625a0b460

1. Click the File tab, click Options, and then click the Add-Ins category 
2. In the Manage box, click Excel Add-ins, and then click Go. The Add-Ins dialog box appears
3. Browse to the location of the ACQ32.xll/ACQ64.xll files, and pick the xll file based on Excel bitness.
4. Make sure your Excel security settings allow you to run Add-ins 
5. All ACQ functions have prefix "acq_" and located in ACQ category.
6. Let me know if you have any issues: [email protected]

Interpolation

The following functions for interpolation are currently implemented:

1. acq_interpolator_create - creates interpolator object (returns a handle)
2. acq_interpolator_eval - evaluates interpolation at specified point
3. acq_interpolation - evaluates interpolation at specified point(in-situ without constructing interpolator object)

Interpolation method is specified using method argument. The argument is optional, linear interpolation is used by default. Currently implemented methods are

0. Nearest - nearest point interpolation (also Backward and Forward)
1. Linear - linear spline interpolation
2. Quadratic - quadratic  spline interpolation	
3. Cubic - natural cubic spline
4. Hermite and HermiteQS - local cubic spline (aka Catmull-Rom spline)
5. Steffen - monotonic cubic spline
6. Akima - Akima spline (cubic spline with special condition for derivatives)
7. AkimaPeriodic - Akima spline with periodic boundary conditions
8. Multiquadrics - Interpolation based on multiquadrics radial basis function 

Bounds is optional argument that controls interpolation outside of interpolation range. When interpolating outside of range num Excel error will be returned if bounds is false, while closest point is returned when bounds is true (default).

2D Interpolation

1. BiLinear - interpolation on rectangular grid (linear in each dimension)
2. BiCubic - cubic interpolation on rectangular grid (natural cubic spline in each dimension)
3. BiSteffen - Steffen interpolation on rectangular grid (Steffen in each dimension)
4. BiAkima - Akima interpolation on rectangular grid (Akima in each dimension)
5. BiHermite - Hermite interpolation on rectangular grid (Hermite in each dimension)


1. acq_interpolator2d_create - creates 2D interpolator object
2. acq_interpolator2d_eval - evaluates interpolation at specified point
3. acq_interpolation2d - evaluates interpolation at specified point(in-situ without constructing interpolator object)

Scattered Data Interpolation (ND)

Scattered data interpolation is based on radial basis functions and currently limited to 512 interpolation nodes. The following radial basis functions are implemented (first three are the most common). Optional scale factors can be provided for each dimension

1. Linear
2. Cubic
3. Multiquadrics
4. Gaussian
5. Thinplate,
6. InverseQuadratic,
7. InverseMultiquadric

the list of excel functions for scattered data interpolation:

1. acq_interpolator_scattered_create - creates RBF interpolator
2. acq_interpolator_scattered_eval - evaluates RBF interpolator at specified point
3. acq_interpolator_scattered_eval_x5 - evaluates RBF interpolator at specified point, coordinates are specified individually (up to 5D)

Linear Regression

Weighted Linear regression (with and without intercept). Compared to LINEST Excel function it allows to specify weights, and compute regression estimate without using array formulas.

1. acq_regression_linear_create - creates linear regression (returns regression object)
2. acq_regression_eval - computes regression estimate (using regression object)

Lowess

Lowess is scatter plot smoothing based on locally-weighted linear regression (based on R code)

1. acq_regression_lowess_create - creates lowess smoother
2. acq_regression_lowess_eval - evaluates lowess smoother at specified point
3. acq_regression_lowess - evaluates lowess smoother at specified point(in-situ without constructing lowess object)

Mersenne Twister

Random number generator based on MT19937 by Takuji Nishimura and Makoto Matsumoto. Excel interface allows to initialize generator with single or array seed

1. acq_random_vector(seed, size) - generate random sample using MT19937, [0, 1) 
2. acq_random_vector_ex(seed, size) - generate random sample using array seed
3. acq_vector_element(vector, index) - get a random number from vector (random numbers are returned as vector)
4. acq_vector_size(vector) - get size of the vector 

Black pricing formulas for European options

Input arguments: forward: forward price of the underlying, strike : option strike, time: time until expiration in years, rate: risk free rate, dividend: (dividend yield continuously compounded), sigma: implied volatility (annual), isCall: TRUE for call options, FALSE for puts

1. acq_options_black_price - Compute option price  
2. acq_options_black_vol - Compute implied volatility (to match specified price)
3. acq_options_black_greeks - Compute option greeks: Price, Delta, Gamma, Vega, Vomma, Vanna, Rho, Theta (analytical)

Bachelier pricing formulas for European options

Input arguments: same as for Black options pricing formulas, but implied volatility (sigma) is normal

1. acq_options_bachelier_price - Compute option price  
2. acq_options_bachelier_vol - Compute implied volatility (to match specified price) 
3. acq_options_bachelier_greeks - Compute option greeks: Price, Delta, Gamma, Vega, Vomma, Vanna, Rho, Theta (analytical)

Black-Scholes pricing formulas for European options

Input arguments: same as for Black options pricing formulas, but uses spot: spot price of the underlying, instead of forward.

1. acq_options_blackscholes_price - Compute option price  
2. acq_options_blackscholes_vol - Compute implied volatility (to match specified price) 
3. acq_options_blackscholes_greeks - Compute option greeks: Price, Delta, Gamma, Vega, Vomma, Vanna, Rho, Theta, Charm, Epsilon (analytical)	

Bjerksund and Stensland (2002) approximation for American options

1. acq_options_bjerksund_price - Compute option price  
2. acq_options_bjerksund_greeks - Compute option greeks: Price, Delta, Gamma, Vega, Vomma, Vanna, Rho, Theta (numerical)	

Binomial option pricing method for American options

Input arguments: same as for Black-Scholes with additional optional argument - time_steps: number of times steps

1. acq_options_binomial_american_price - Compute option price   	
2. acq_options_binomial_american_greeks - Compute option greeks: Price, Delta, Gamma, Vega, Vomma, Vanna, Rho, Theta (numerical)	

Trinomial option pricing method for American options

Input arguments: same as for Binomial option pricing

1. acq_options_trinomial_american_price - Compute option price  	
2. acq_options_trinomial_american_greeks -  Compute option greeks: Price, Delta, Gamma, Vega, Vomma, Vanna, Rho, Theta (numerical)	

SABR Hagan approximation formulas

1. acq_options_sabr_blackvol - Compute LogNormal (Black) implied vol from SABR parameters (alpha, beta, rho, nu - vol of vol )
2. acq_options_sabr_normvol -  Compute Normal (Bachelier) implied vol from SABR parameters (alpha, beta, rho, nu - vol of vol )

Misc Utils

Compute min/max/mean while ignoring non-numeric values (mean can be weighted).

1. acq_mean  Compute mean(x) (with optional weighted, can ignore non-numeric values)  	
2. acq_max,acq_min, acq_absmax and acq_absmin - Compute max(x), min(x), max(abs(x)) and  min(abs(x)) (ignores non-numeric values)  
3. acq_tostring - converts a value to string representation
4. acq_isinteger - checks if value is integer
5. acq_isprime - checks if number is prime
6. acq_join	 - concatenate the elements of the range to string (with specified separator)	
7. acq_sum, acq_stdev, acq_sumofsquares -   Compute sum(x), standard deviation of x and sum(x*x) 	

Binomial Metrics

1. acq_binomtest - Binomial proportion confidence interval (Wilson - method)
2. acq_metric_auc - AUC, Area Under ROC Curve
3. acq_metric_gini -  Gini coefficient (2*AUC - 1)
4. acq_metric_ks -  Kolmogorov-Smirnov statistics 
5. acq_metric_logloss - log-loss metric

Shortcuts

1. Ctrl+Shift+H - shows ACQ log window
2. Ctrl+Shift+A - shows ACQ introspection window (for ACQ handles)

acq's People

Contributors

ratesquant avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

acq's Issues

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.