# reward to risk ratio formula using standard deviation

hartwig*author*

The Reward to Risk Ratio Formula: Using Standard Deviation to Maximize Returns

The reward to risk ratio is a crucial concept in investment and financial planning, as it helps individuals and institutions determine the optimal balance between potential returns and the associated risks. By using the reward to risk ratio formula, investors can make more informed decisions and maximize their returns over time. In this article, we will explore the reward to risk ratio using standard deviation as a measure of risk.

Standard Deviation and Risk

Standard deviation is a popular statistical measure of risk that depicts the variability of returns in a portfolio. It is calculated by finding the average of the returns and then taking the square root of the average of the squared returns differences from the average return. A high standard deviation indicates higher risk, while a low standard deviation indicates lower risk.

The Reward to Risk Ratio Formula

The reward to risk ratio formula combines the expected return with the risk measured by the standard deviation of the portfolio. The formula is as follows:

Reward to Risk Ratio = Expected Return / (Standard Deviation / sqrt(Number of Assets))

Where:

- Expected Return is the investor's target return for the portfolio

- Standard Deviation is the measure of risk, calculated using the returns of the portfolio

- Number of Assets is the number of investment assets in the portfolio

Calculating the Reward to Risk Ratio

To calculate the reward to risk ratio, follow these steps:

1. Calculate the expected return: this is the return that the investor is seeking to achieve over the investment horizon.

2. Calculate the standard deviation: this is the measure of risk associated with the portfolio.

3. Divide the expected return by the standard deviation divided by the square root of the number of assets: this is the reward to risk ratio.

Optimizing the Reward to Risk Ratio

The optimal reward to risk ratio depends on the investor's risk tolerance, investment goals, and time horizon. Investors with a high risk tolerance should seek higher expected returns, while those with a low risk tolerance should seek lower expected returns with a lower risk profile.

The reward to risk ratio formula using standard deviation is a valuable tool for investors to determine the optimal balance between returns and risks. By understanding this formula and applying it to their portfolios, investors can make more informed decisions and maximize their returns over time.

comentsHave you got any ideas?