[Returnanalytics-commits] r3165 - pkg/PortfolioAnalytics/sandbox/symposium2013/docs
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Mon Sep 23 01:49:45 CEST 2013
Author: peter_carl
Date: 2013-09-23 01:49:45 +0200 (Mon, 23 Sep 2013)
New Revision: 3165
Modified:
pkg/PortfolioAnalytics/sandbox/symposium2013/docs/symposium-slides-2013.Rmd
Log:
- minor changes to commentary
Modified: pkg/PortfolioAnalytics/sandbox/symposium2013/docs/symposium-slides-2013.Rmd
===================================================================
--- pkg/PortfolioAnalytics/sandbox/symposium2013/docs/symposium-slides-2013.Rmd 2013-09-22 23:48:44 UTC (rev 3164)
+++ pkg/PortfolioAnalytics/sandbox/symposium2013/docs/symposium-slides-2013.Rmd 2013-09-22 23:49:45 UTC (rev 3165)
@@ -117,7 +117,7 @@
* maximizes return,
* with per-asset position limits,
-* with a specific univariate portfolio risk limit,
+* with a specific univariate portfolio risk limit or target,
* defines risk as losses,
* considers the effects of skewness and kurtosis, and
* either limits contribution of risk for constituents or
@@ -125,6 +125,10 @@
<!-- Not a quadratic (or linear, or conical) problem any more. -->
+<!-- Comments:
+* or even target a certain volatility level
+-->
+
# Risk budgeting
* Used to allocate the "risk" of a portfolio
* Decomposes the total portfolio risk into the risk contribution of each component position
@@ -134,6 +138,9 @@
# Return distributions
\includegraphics[width=1.0\textwidth]{../results/EDHEC-Distributions.png}
+# Return distributions
+* Split chart into two for readability
+
# Measuring risk, not volatility
Measure risk with Conditional Value-at-Risk (CVaR)
@@ -175,7 +182,8 @@
* A high positive %CmETL indicates the position has a large loss when the portfolio also has a large loss
<!-- Comments:
-Enabled through the Euler decomposition
+SD, VaR and ETL are linearly homogenous functions of portfolio weights w, so Euler’s theorem gives additive decomposition. Zivot (2011)
+Should point out that this also maps into factor tail risk contributions, which has an intuitive interpretation as stress loss scenarios.
-->
# Contribution to downside risk
@@ -390,7 +398,6 @@
## _PortfolioAnalytics_
-- Provides numerical solutions to portfolios with complex constraints and objectives comprised of any function
- Unifies the interface across different closed-form optimizers and several analytical solvers
- Implements three methods for generating Random Portfolios, including 'sample', 'simplex', and 'grid'
- Preserves the flexibility to define any kind of objective and constraint
@@ -399,7 +406,7 @@
## _PerformanceAnalytics_
* Returns-based analysis of performance and risk for financial instruments and portfolios, available on CRAN
-# Other packages
+# Packages for Mathematical Programming Solvers
## _ROI_
* Infrastructure package by K. Hornik, D. Meyer, and S. Theussl for optimization that facilitates use of different solvers...
@@ -409,7 +416,7 @@
## quadprog
* ... or this one, used for solving quadratic programming problems
-# Other packages
+# Packages for Generalized Continuous Solvers
## _DEoptim_
* Implements Differential Evolution, a very powerful, elegant, population based stochastic function minimizer
@@ -419,9 +426,9 @@
## _pso_
* An implementation of Partical Swarm Optimization consistent with the standard PSO 2007/2011 by Maurice Clerc, _et al._
-# Other packages
+# Packages for more iron
## _foreach_
-* Steve Weston's remarkable parallel computing framework, which maps functions to data and aggregates results in parallel across multiple CPU cores and computers...
+* Steve Weston's parallel computing framework, which maps functions to data and aggregates results in parallel across multiple CPU cores and computers.
## _doRedis_
* A companion package to _foreach_ by Bryan Lewis that implements a simple but very flexible parallel back end to Redis, making it to run parallel jobs across multiple R sessions.
@@ -429,15 +436,15 @@
## _doMPI_
* Another companion to _foreach_ that provides a parallel backend across cores using the _parallel_ package
-## _xts_
- * Time series package specifically for finance by Jeff Ryan and Josh Ulrich
+<!-- Comments:
+ * Mention xts, quantmod and ttr
+-->
-
# Thanks
-* Brian Peterson
-* Kris Boudt
-* Doug Martin
-* Ross Bennett
+* Brian Peterson - Trading Partner at DV Trading, Chicago
+* Kris Boudt - Faculty of Business and Economics, KU Leuven and VU University Amsterdam
+* Doug Martin - Professor and Director of Computational Finance, University of Washington
+* Ross Bennett - Student in the University of Washington's MS-CFRM program and GSOC participant
# References
Figure out bibtex links in markup
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