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Efficient Portfolio is a unique smartphone app, which calculates the "efficient portfolio" of shares according to the theory of Nobel laureate Prof

Efficient Portfolio

by SCIETREX Scientific Software AG

What is it about?

Efficient Portfolio is a unique smartphone app, which calculates the "efficient portfolio" of shares according to the theory of Nobel laureate Prof. Harry M. Markowitz and gives instructions, how to change a given portfolio to become efficient. The efficient portfolio is a portfolio that provides the greatest expected return for a given level of risk, or equivalently, the lowest risk for a given expected return, also called "optimal portfolio".

App Details

Version
1.1.2
Rating
NA
Size
23Mb
Genre
Finance Business
Last updated
May 6, 2020
Release date
March 26, 2018
More info

App Screenshots

App Store Description

Efficient Portfolio is a unique smartphone app, which calculates the "efficient portfolio" of shares according to the theory of Nobel laureate Prof. Harry M. Markowitz and gives instructions, how to change a given portfolio to become efficient. The efficient portfolio is a portfolio that provides the greatest expected return for a given level of risk, or equivalently, the lowest risk for a given expected return, also called "optimal portfolio".

The model works right under the assumptions of the original theory:

- The investor is acting in a rational and risk-averse manner.
- Entry- and target values are quantified by expected values and standard deviation.
- Shares of the portfolio are arbitrarily divisible.
- The model does not account transaction costs.
- The model relates to a one period consideration.
- Changes in the fair values are normally distributed.

The model is intended for long-term investors (5 - 10 years). Refreshments of the portfolio (buy/sell shares) should carried out not more than one time a year, because transaction costs becomes eventually too high.

Free Data API: Alpha Vantage Inc., Boston, Mass., USA. Includes ticker data in USD from NYSE, NASDAQ and OTC.

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