SmartFolio 3.2.4 Individual License
$65.00
SmartFolio 3.2.4 Individual License
Sales Page : smartfolio.com
Files of Product : http://imgur.com/vIcqvmf
SmartFolio will enable you remedy quite a lot of sensible duties together with:
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Find essentially the most applicable asset allocation in response to your funding targets, market historical past andforecasts; |
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Analyze dangers of your funding portfolio from numerous views (volatility, value-at-risk,shortfall possibilities); |
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Arrive at sufficient portfolio rebalancing technique to attenuate rebalancing transaction prices. |
Supported analytical strategies embrace shrinkage estimators, strong portfolio optimization, walk-forward portfolio optimization,benchmark monitoring, Black-Litterman mannequin, issue fashions, and plenty of others.
Features
Our superior, continually up to date software program offers the investor all of the instruments they want. Some of the mathematical algorithms utilized by SmartFolio have solely emerged in the previous few years. Many are subsequently to not be present in different industrial merchandise. The most vital SmartFolio options are outlined under:
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Fully helps the multi-period funding paradigm. |
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Fully helps portfolios that includes belongings with non-Gaussian distribution of returns, or non-linear inter-dependencies, together with choices and hedge funds. This is achieved by way of direct simulation of portfolio dynamics with no mannequin assumptions. |
Portfolio Construction
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Simultaneous creation of two environments for portfolio evaluation:
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Risk-free asset possibility. |
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Factor-selection possibility for a factor-based asset pricing mannequin. |
Estimation of parameters
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Equally-weighted pattern estimates of anticipated returns and covariances |
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Exponentially weighted pattern estimates of anticipated returns and covariances (new in v.3.1) |
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Stambaugh combined-sample estimates, used if asset histories differ in size. |
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Jorion anticipated returns estimate, which shrinks pattern common returns to a typical worth. |
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Ledoit-Wolf covariance matrix estimate, which shrinks the pattern covariance matrix to the fixed correlations covariance matrix. |
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Pastor-Stambaugh-Wang joint estimate of anticipated returns and covariances, which shrinks pattern estimates to their respective counterparts, implied by the chosen issue mannequin. |
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MacKinlay-Pastor joint estimate of anticipated returns and covariances, primarily based on the idea that costs are defined by an unobservable issue. |
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The Black-Litterman mannequin that includes subjective invetsor views in parameter estimation and asset allocation course of. |
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Dummy estimates of anticipated returns and covariances additional utilized in building of risk-based portfolio methods (danger parity and most diversification) (new in v.3.2) |
Portfolio optimization
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Four optimization standards: |
- Maximization of an anticipated utility with fixed relative danger aversion
- Minimization of goal shortfall likelihood
- Benchmark monitoring ( = volatility minimization relative to any benchmark asset)
- Maximizaton of instantaneous Sharpe ratio (utilized in building of risk-based portfolio methods) (new in v.3.2)
Robust portfolio optimization(worst-case situation optimization): the resultant portfolios show optimum conduct below the worst-case situation. Walk-forward optimization:
- Arbitrary lengths of in-sample and out-of-sample home windows
- Choice between rolling and increasing in-sample window (new in v.3.1)
Optimization engine primarily based on IPOPT (Internal Point OPTimizer) — one of the vital highly effective nonlinear optimizers obtainable.
Target shortfall possibilities evaluation
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Calculation of goal shortfall possibilities in response to chosen ranges for the funding horizon and goal fee. |
Value-at-Risk evaluation
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Simultaneous calculation of two danger measures: Value-at-Risk (VaR) and Conditional Value-at-Risk(CVaR). |
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Various strategies for calculation of VaR and CVaR, together with:
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Construction of VaR and CVaR surfaces in response to chosen ranges for the funding horizon and significance degree. |
Historical simulations
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Simulations of portfolio methods with steady rebalancing. |
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Simulations of portfolio methods with steady rebalancing and portfolio insurance coverage — these methods are optimum in a scenario when a predetermined portion of the preliminary wealth and/or accrued income should be maintained. |
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Portfolio-strategy simulations with “inaction region” rebalancing — these methods are optimum within the presence of proportional transaction prices. |
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Portfolio-strategy simulations with “inaction region” rebalancing and portfolio insurance coverage. |
Data administration
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Choose both an Access-database or Excel spreadsheet format to retailer your knowledge. |
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Several historic knowledge sources:
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Batch import from all knowledge sources |
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1-click replace from all knowledge sources |
Miscelaneous
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“Three-fund” portfolio calculation — utility-based portfolio, optimum within the presence of anestimation error within the mannequin parameters. |
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Utilization of Block Bootstrapping algorithm within the calculation of VaR, CVaR, and shortfall possibilities. |
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Determine Inaction area optimum dimension within the presence of proportional transaction prices, primarily based on a multidimensional extension of the Davis-Norman method. |
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Wide vary of optimization constraints, which additionally embrace:
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Various efficiency measures together with Information ratio, Sortino ratio and STARR ratio. |
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