International Business Machines (IBM)

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

• Looking at the total return of 68.9% in the last 5 years of International Business Machines, we see it is relatively lower, thus worse in comparison to the benchmark SPY (80.1%)
• Looking at total return, or performance in of 51.5% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (30.8%).

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

• Looking at the annual return (CAGR) of 11.1% in the last 5 years of International Business Machines, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (12.5%)
• During the last 3 years, the annual return (CAGR) is 14.9%, which is greater, thus better than the value of 9.4% from the benchmark.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

• Compared with the benchmark SPY (21.3%) in the period of the last 5 years, the volatility of 26.5% of International Business Machines is larger, thus worse.
• During the last 3 years, the volatility is 21.3%, which is larger, thus worse than the value of 17.6% from the benchmark.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

• Looking at the downside deviation of 18.9% in the last 5 years of International Business Machines, we see it is relatively larger, thus worse in comparison to the benchmark SPY (15.3%)
• Looking at downside risk in of 15.2% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (12.3%).

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

• Looking at the ratio of return and volatility (Sharpe) of 0.32 in the last 5 years of International Business Machines, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.47)
• Looking at risk / return profile (Sharpe) in of 0.58 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.39).

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

• Compared with the benchmark SPY (0.66) in the period of the last 5 years, the downside risk / excess return profile of 0.45 of International Business Machines is smaller, thus worse.
• Compared with SPY (0.56) in the period of the last 3 years, the excess return divided by the downside deviation of 0.81 is greater, thus better.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

• Looking at the Ulcer Index of 12 in the last 5 years of International Business Machines, we see it is relatively larger, thus worse in comparison to the benchmark SPY (9.43 )
• During the last 3 years, the Ulcer Ratio is 8.04 , which is lower, thus better than the value of 10 from the benchmark.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

• The maximum DrawDown over 5 years of International Business Machines is -39 days, which is lower, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
• During the last 3 years, the maximum DrawDown is -17.9 days, which is greater, thus better than the value of -24.5 days from the benchmark.

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs) in days.'

• Looking at the maximum days below previous high of 309 days in the last 5 years of International Business Machines, we see it is relatively lower, thus better in comparison to the benchmark SPY (478 days)
• During the last 3 years, the maximum time in days below previous high water mark is 216 days, which is lower, thus better than the value of 478 days from the benchmark.

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

• The average time in days below previous high water mark over 5 years of International Business Machines is 89 days, which is lower, thus better compared to the benchmark SPY (118 days) in the same period.
• During the last 3 years, the average days below previous high is 67 days, which is lower, thus better than the value of 173 days from the benchmark.