Description Usage Arguments Details Value Examples

View source: R/target_weight_returns.R

Optimizes portfolio weights by minimizing the variance for a given target return and weights

1 2 3 4 5 6 7 | ```
optim.Weight.Return(
asset.names,
tgt.ret,
rf = 0,
max.wgt = 1,
period = c("months", "weeks", "quarters", "years")
)
``` |

`asset.names` |
Vector of ticker of securities |

`tgt.ret` |
Target return for given funds |

`rf` |
Risk-free rate of return, Default: 0 |

`max.wgt` |
Maximum weight to be allocated for one fund/security, Default: 1 |

`period` |
Period for which the returns are calculated, Default: c("months", "weeks", "quarters", "years") |

Minimizes the variance using the method of lagrange multiplier to calculate the portfolio weights with minimized variance for given target return and given maximum weights.

Returns a dataframe of the portfolios with different portfolio weights and different target returns and target standard deviation. Using this an investor can choose between range of portfolio to allocate funds.

1 | ```
optim.Weight.Return(c('FXAIX', 'TIBFX'), period = 'weeks', max.wgt = 0.8, tgt.ret = 0.0015)
``` |

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