Type: | Package |
Title: | Computes 26 Financial Risk Measures for Any Continuous Distribution |
Version: | 1.0 |
Date: | 2017-06-05 |
Author: | Saralees Nadarajah, Stephen Chan |
Maintainer: | Saralees Nadarajah <mbbsssn2@manchester.ac.uk> |
Depends: | R (≥ 3.0.1) |
Description: | Computes 26 financial risk measures for any continuous distribution. The 26 financial risk measures include value at risk, expected shortfall due to Artzner et al. (1999) <doi:10.1007/s10957-011-9968-2>, tail conditional median due to Kou et al. (2013) <doi:10.1287/moor.1120.0577>, expectiles due to Newey and Powell (1987) <doi:10.2307/1911031>, beyond value at risk due to Longin (2001) <doi:10.3905/jod.2001.319161>, expected proportional shortfall due to Belzunce et al. (2012) <doi:10.1016/j.insmatheco.2012.05.003>, elementary risk measure due to Ahmadi-Javid (2012) <doi:10.1007/s10957-011-9968-2>, omega due to Shadwick and Keating (2002), sortino ratio due to Rollinger and Hoffman (2013), kappa due to Kaplan and Knowles (2004), Wang (1998)'s <doi:10.1080/10920277.1998.10595708> risk measures, Stone (1973)'s <doi:10.2307/2978638> risk measures, Luce (1980)'s <doi:10.1007/BF00135033> risk measures, Sarin (1987)'s <doi:10.1007/BF00126387> risk measures, Bronshtein and Kurelenkova (2009)'s risk measures. |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Packaged: | 2017-06-08 13:57:28 UTC; mbbsssn2 |
NeedsCompilation: | no |
Repository: | CRAN |
Date/Publication: | 2017-06-08 15:19:54 UTC |
Computes 26 Financial Risk Measures for Any Continuous Distribution
Description
Computes 26 financial risk measures, including value at risk, expected shortfall due to Artzner et al. (1999) <DOI:10.1007/s10957-011-9968-2>, tail conditional median due to Kou et al. (2013) <DOI:10.1287/moor.1120.0577>, expectiles due to Newey and Powell (1987) <DOI:10.2307/1911031>, beyond value at risk due to Longin (2001) <DOI:10.3905/jod.2001.319161>, expected proportional shortfall due to Belzunce et al. (2012) <DOI:10.1016/j.insmatheco.2012.05.003>, elementary risk measure due to Ahmadi-Javid (2012) <DOI:10.1007/s10957-011-9968-2>, omega due to Shadwick and Keating (2002), sortino ratio due to Rollinger and Hoffman (2013), kappa due to Kaplan and Knowles (2004), Wang (1998)'s <DOI:10.1080/10920277.1998.10595708> risk measures, Stone (1973)'s <DOI:10.2307/2978638> risk measures, Luce (1980)'s <DOI:10.1007/BF00135033> risk measures, Sarin (1987)'s <DOI:10.1007/BF00126387> risk measures, Bronshtein and Kurelenkova (2009)'s risk measures.
Details
Package: | Risk |
Type: | Package |
Version: | 1.0 |
Date: | 2017-06-05 |
License: | GPL(>=2) |
financial risk measures
Author(s)
Saralees Nadarajah, Stephen Chan
Maintainer: Saralees Nadarajah <Saralees.Nadarajah@manchester.ac.uk>
References
A. Ahmadi-Javid, Entropic value-at-risk: A new coherent risk measure, Journal of Optimization Theory and Applications, 155, 2012, 1105-1123 <DOI:10.1007/s10957-011-9968-2>
P. Artzner, F. Delbaen, J. M. Eber and D. Heath, Coherent measures of risk, Mathematical Finance, 9, 1999, 203-228 <DOI:10.1007/s10957-011-9968-2>
F. Belzunce, J. F. Pinar, J. M. Ruiz and M. A. Sordo, Comparison of risks based on the expected proportional shortfall, Insurance: Mathematics and Economics, 51, 2012, 292-302 <DOI:10.1016/j.insmatheco.2012.05.003>
E. Bronshtein and J. Kurelenkova, Complex risk measures in portfolio optimization, Ufa State Aviation Technical University, Russia, 2009
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
P. D. Kaplan and J. A. Knowles, Kappa: A generalized downside risk-adjusted performance measure, Miscellaneous Publication, Morningstar Associates and York Hedge Fund Strategies, 2004
S. Kou, X. Peng and C. C. Heyde, External risk measures and Basel accords, Mathematics of Operations Research, 38, 2013, 393-417 <DOI:10.1287/moor.1120.0577>
F. M. Longin, Beyond the VaR, Journal of Derivatives, 8, 2001, 36-48 <DOI:10.3905/jod.2001.319161>
R. D. Luce, Several possible measures of risk, Theory and Decision, 12, 1980, 217-228 <DOI:10.1007/BF00135033>
W. K. Newey and J. L. Powell, Asymmetric least squares estimation and testing, Econometrica, 55, 1987, 819-847 <DOI:10.2307/1911031>
T. Rollinger and S. Hoffman, Sortino ratio: A better measure of risk, Risk Management, 2013, 40-42
R. K. Sarin, Some extensions of Luce's measures of risk, Theory and Decision, 22, 1987, 125-141 <DOI:10.1007/BF00126387>
W. F. Shadwick and C. Keating, A universal performance measure, Journal of Performance Measurement, 2002
B. K. Stone, A general class of three-parameter risk measures, The Journal of Finance, 28, 1973, 675-685 <DOI:10.2307/2978638>
S. Wang, An actuarial index of the right-tail risk, North American Actuarial Journal, 2, 1988, 88-101 <DOI:10.1080/10920277.1998.10595708>
Bronshtein And Kurelenkova (2009)'s First Risk Measure
Description
Computes the first risk measure due to Bronshtein and Kurelenkova (2009)
Usage
BKg1(spec, alpha, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a real valued parameter taking values in (0, 1), see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving Bronshtein and Kurelenkova (2009)'s first risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
E. Bronshtein and J. Kurelenkova, Complex risk measures in portfolio optimization, Ufa State Aviation Technical University, Russia, 2009
Examples
BKg1("norm", 0.9, -Inf, Inf)
Bronshtein And Kurelenkova (2009)'s Second Risk Measure
Description
Computes the second risk measure due to Bronshtein and Kurelenkova (2009)
Usage
BKg2(spec, alpha, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a real valued parameter taking values in (0, 1), see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving Bronshtein and Kurelenkova (2009)'s second risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
E. Bronshtein and J. Kurelenkova, Complex risk measures in portfolio optimization, Ufa State Aviation Technical University, Russia, 2009
Examples
BKg2("norm", 0.9, -Inf, Inf)
Bronshtein And Kurelenkova (2009)'s Third Risk Measure
Description
Computes the third risk measure due to Bronshtein and Kurelenkova (2009)
Usage
BKg3(spec, alpha, a, b, beta, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a real valued parameter taking values in (0, 1), see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
beta |
a non-negative real valued parameter, see Chan and Nadarajah for details |
... |
other parameters |
Value
An object of the same length as alpha
, giving Bronshtein and Kurelenkova (2009)'s third risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
E. Bronshtein and J. Kurelenkova, Complex risk measures in portfolio optimization, Ufa State Aviation Technical University, Russia, 2009
Examples
BKg3("norm", 0.9, -Inf, Inf, 1)
Bronshtein And Kurelenkova (2009)'s Fourth Risk Measure
Description
Computes the fourth risk measure due to Bronshtein and Kurelenkova (2009)
Usage
BKg4(spec, alpha, a, b, beta, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a real valued parameter taking values in (0, 1), see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
beta |
a non-negative real valued parameter, see Chan and Nadarajah for details |
... |
other parameters |
Value
An object of the same length as alpha
, giving Bronshtein and Kurelenkova (2009)'s fourth risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
E. Bronshtein and J. Kurelenkova, Complex risk measures in portfolio optimization, Ufa State Aviation Technical University, Russia, 2009
Examples
BKg4("norm", 0.9, -Inf, Inf, 1)
Beyond Value At Risk Due To Longin (2001)
Description
Computes beyond value at risk for a given ditribution
Usage
bvar(spec, alpha, a, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
the probabilities associated with beyon values at risk |
a |
the lower end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving beyond values ar risk computed.
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
F. M. Longin, Beyond the VaR, Journal of Derivatives, 8, 2001, 36-48 <DOI:10.3905/jod.2001.319161>
Examples
bvar("norm", 0.9, a=-Inf)
Expected Proportional Shortfall Due To Belzunce et al. (2012)
Description
Computes expected proportional shortfall for a given ditribution
Usage
epsg(spec, alpha, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
the probabilities associated with expected proportional shortfalls |
... |
other parameters |
Value
An object of the same length as alpha
, giving expected proportional shortfalls computed.
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
F. Belzunce, J. F. Pinar, J. M. Ruiz and M. A. Sordo, Comparison of risks based on the expected proportional shortfall, Insurance: Mathematics and Economics, 51, 2012, 292-302 <DOI:10.1016/j.insmatheco.2012.05.003>
Examples
epsg("norm", 0.9)
Expected Shortfall Due To Artzner et al. (1999)
Description
Computes expected shortfall for a given ditribution
Usage
esg(spec, alpha, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
the probabilities associated with expected shortfall |
... |
other parameters |
Value
An object of the same length as alpha
, giving expected shortfall computed.
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
P. Artzner, F. Delbaen, J. M. Eber and D. Heath, Coherent measures of risk, Mathematical Finance, 9, 1999, 203-228 <DOI:10.1111/1467-9965.00068>
Examples
esg("norm", 0.9)
Expectation
Description
Computes expectation for a given ditribution
Usage
expect(spec, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving the expected value of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
Examples
expect("norm", -Inf, Inf)
Expectiles Due To Newey And Powell (1987)
Description
Computes expectiles for a given ditribution
Usage
expp(spec, alpha, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
the probabilities associated with expectiles |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving expectiles computed.
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
W. K. Newey and J. L. Powell, Asymmetric least squares estimation and testing. Econometrica, 55, 1987, 819-847 <DOI:10.2307/1911031>
Examples
expp("norm", 0.9, a=-Inf, b=Inf)
An Elementary Risk Measure Due To Ahmadi-Javid (2012)
Description
Computes the elementary risk measure for a given ditribution
Usage
expvar(spec, alpha, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a positive valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving the elementary risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
A. Ahmadi-Javid, Entropic value-at-risk: A new coherent risk measure. Journal of Optimization Theory and Applications, 155, 2012, 1105-1123 <DOI:10.1007/s10957-011-9968-2>
Examples
expvar("norm", 0.9, -Inf, Inf)
Kappa Risk Measure Due To Kaplan And Knowles (2004)
Description
Computes the Kappa risk measure for a given ditribution
Usage
kappag(spec, alpha, n, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a real valued parameter, see Chan and Nadarajah for details |
n |
a positive integer valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving the Kappa risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
P. D. Kaplan and J. A. Knowles, Kappa: A generalized downside risk-adjusted performance measure, Miscellaneous Publication, Morningstar Associates and York Hedge Fund Strategies, 2004
Examples
kappag("norm", 2, 5, -Inf, Inf)
Luce (1980)'s First Risk Measure
Description
Computes the first risk measure due to Luce (1980)
Usage
luceg1(spec, a, b, aa, bb, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
aa |
a positive valued parameter, see Chan and Nadarajah for details |
bb |
a non-negative valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving Luce (1980)'s first risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
R. D. Luce, Several possible measures of risk, Theory and Decision, 12, 1980, 217-228 <DOI:10.1007/BF00135033>
Examples
luceg1("unif", 0, 1, 1, 0)
Luce (1980)'s Second Risk Measure
Description
Computes the second risk measure due to Luce (1980)
Usage
luceg2(spec, a, b, aa, bb, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
aa |
a positive valued parameter, see Chan and Nadarajah for details |
bb |
a positive valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving Luce (1980)'s second risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
R. D. Luce, Several possible measures of risk, Theory and Decision, 12, 1980, 217-228 <DOI:10.1007/BF00135033>
Examples
luceg2("unif", 0, 1, 1, 0)
Luce (1980)'s Third Risk Measure
Description
Computes the third risk measure due to Luce (1980)
Usage
luceg3(spec, a, b, aa, bb, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
aa |
a positive valued parameter, see Chan and Nadarajah for details |
bb |
a non-negative valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving Luce (1980)'s third risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
R. D. Luce, Several possible measures of risk, Theory and Decision, 12, 1980, 217-228 <DOI:10.1007/BF00135033>
Examples
luceg3("unif", 0, 1, 1, 0)
Luce (1980)'s Fourth Risk Measure
Description
Computes the fourth risk measure due to Luce (1980)
Usage
luceg4(spec, a, b, aa, bb, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
aa |
a positive valued parameter, see Chan and Nadarajah for details |
bb |
a positive valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving Luce (1980)'s fourth risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
R. D. Luce, Several possible measures of risk, Theory and Decision, 12, 1980, 217-228 <DOI:10.1007/BF00135033>
Examples
luceg4("norm",-Inf, Inf, 1, 0)
Omega Risk Measure Due To Shadwick And Keating (2002)
Description
Computes the omega risk measure for a given ditribution
Usage
omegag(spec, alpha, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a real valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving the omega risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
W. F. Shadwick and C. Keating, A universal performance measure, Journal of Performance Measurement, 2002
Examples
omegag("norm", 2, -Inf, Inf)
Sarin (1987)'s First Risk Measure
Description
Computes the first risk measure due to Sarin (1987)
Usage
saring1(spec, a, b, k, c, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
k |
a non-zero real valued parameter, see Chan and Nadarajah for details |
c |
a non-zero real valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving Sarin (1987)'s first risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
R. K. Sarin, Some extensions of Luce's measures of risk, Theory and Decision, 22, 1987, 125-141 <DOI:10.1007/BF00126387>
Examples
saring1("norm", -Inf, Inf, 1, 0)
Sarin (1987)'s Second Risk Measure
Description
Computes the second risk measure due to Sarin (1987)
Usage
saring2(spec, a, b, aa, bb1, bb2, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
aa |
a positive real valued parameter, see Chan and Nadarajah for details |
bb1 |
a positive real valued parameter, see Chan and Nadarajah for details |
bb2 |
a positive real valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving Sarin (1987)'s second risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
R. K. Sarin, Some extensions of Luce's measures of risk, Theory and Decision, 22, 1987, 125-141 <DOI:10.1007/BF00126387>
Examples
saring2("norm",-Inf, Inf, 1, 1, 1)
Sarin (1987)'s Third Risk Measure
Description
Computes the third risk measure due to Sarin (1987)
Usage
saring3(spec, a, b, aa, bb1, bb2, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
aa |
a positive real valued parameter, see Chan and Nadarajah for details |
bb1 |
a positive real valued parameter, see Chan and Nadarajah for details |
bb2 |
a positive real valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving Sarin (1987)'s third risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
R. K. Sarin, Some extensions of Luce's measures of risk, Theory and Decision, 22, 1987, 125-141 <DOI:10.1007/BF00126387>
Examples
saring3("norm",-Inf, Inf, 1, 1, 1)
Sortino Ratio Due To Rollinger And Hoffman (2013)
Description
Computes the Sortino ratio for a given ditribution
Usage
sortinog(spec, alpha, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a real valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving the Sortino ratio of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
T. Rollinger and S. Hoffman, Sortino ratio: A better measure of risk, Risk Management, 40-42, 2013
Examples
sortinog("norm", 2, -Inf, Inf)
Stone (1973)'s First Risk Measure
Description
Computes the first risk measure due to Stone (1973)
Usage
stoneg1(spec, x0, k, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
x0 |
a real valued parameter, see Chan and Nadarajah for details |
k |
a positive valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving Stone (1973)'s first risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
B. K. Stone, A general class of three-parameter risk measuresm, The Journal of Finance, 28, 1973, 675-685 <DOI:10.2307/2978638>
Examples
stoneg1("norm", 8, 3, -Inf, Inf)
Stone (1973)'s Second Risk Measure
Description
Computes the second risk measure due to Stone (1973)
Usage
stoneg2(spec, x0, k, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
x0 |
a real valued parameter, see Chan and Nadarajah for details |
k |
a positive valued parameter, see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
A scalar, giving Stone (1973)'s second risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
B. K. Stone, A general class of three-parameter risk measuresm, The Journal of Finance, 28, 1973, 675-685 <DOI:10.2307/2978638>
Examples
stoneg2("norm", 8, 3, -Inf, Inf)
Tail Conditional Mean Due To Kou et al. (2013)
Description
Computes tail conditional median for a given ditribution
Usage
tcm(spec, alpha, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
the probabilities associated with tail conditional median |
... |
other parameters |
Value
An object of the same length as alpha
, giving tail conditional medians computed.
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
S. Kou, X. Peng and C. C. Heyde, External risk measures and Basel accords, Mathematics of Operations Research, 38, 2013, 393-417 <DOI:10.1287/moor.1120.0577>
Examples
tcm("norm", 0.9)
Value At Risk
Description
Computes value at risk for a given ditribution
Usage
varg(spec, alpha, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
the probabilities associated with values at risk |
... |
other parameters |
Value
An object of the same length as alpha
, giving values at risk computed.
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
Examples
varg("norm", 0.9)
Wang (1998)'s First Risk Measure
Description
Computes the first risk measure due to Wang (1998)
Usage
wangg1(spec, alpha, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a real valued parameter taking values in (0, 1), see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving Wang (1998)'s first risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
S. Wang, An actuarial index of the right-tail risk, North American Actuarial Journal, 2, 1998, 88-101 <DOI:10.1080/10920277.1998.10595708>
Examples
wangg1("lnorm", 0.9, 0, Inf)
Wang (1998)'s Second Risk Measure
Description
Computes the second risk measure due to Wang (1998)
Usage
wangg2(spec, alpha, a, b, ...)
Arguments
spec |
a character string specifying the distribution (for example, "norm" corresponds to the standard normal) |
alpha |
a real valued parameter taking values in (0, 1), see Chan and Nadarajah for details |
a |
the lower end point of the distribution specified by |
b |
the upper end point of the distribution specified by |
... |
other parameters |
Value
An object of the same length as alpha
, giving Wang (1998)'s second risk measure of the distribution specified by spec
Author(s)
Stephen Chan, Saralees Nadarajah
References
S. Chan and S. Nadarajah, Risk: An R package for risk measures, submitted
S. Wang, An actuarial index of the right-tail risk, North American Actuarial Journal, 2, 1998, 88-101 <DOI:10.1080/10920277.1998.10595708>
Examples
wangg2("lnorm", 0.9, 0, Inf)