Description

International Business Machines Corporation operates as an integrated solutions and services company worldwide. Its Cloud & Cognitive Software segment offers software for vertical and domain-specific solutions in health, financial services, and Internet of Things (IoT), weather, and security software and services application areas; and customer information control system and storage, and analytics and integration software solutions to support client mission critical on-premise workloads in banking, airline, and retail industries. It also offers middleware and data platform software, including Red Hat, which enables the operation of clients' hybrid multi-cloud environments; and Cloud Paks, WebSphere distributed, and analytics platform software, such as DB2 distributed, information integration, and enterprise content management, as well as IoT, Blockchain and AI/Watson platforms. The company's Global Business Services segment offers business consulting services; system integration, application management, maintenance, and support services for packaged software; finance, procurement, talent and engagement, industry-specific business process outsourcing services; IT infrastructure and platform services. Its Global Technology Services segment provides project, managed, outsourcing, and cloud-delivered services for enterprise IT infrastructure environments; and IT infrastructure support services. It's Systems segment offers servers for businesses, cloud service providers, and scientific computing organizations; data storage products and solutions; and z/OS, an enterprise operating system, as well as Linux. Its Global Financing segment provides lease, installment payment, loan financing, short-term working capital financing, and remanufacturing and remarketing services. It was formerly known as Computing-Tabulating-Recording Co. and changed its name to International Business Machines Corporation in 1924. It was founded in 1911 and is headquartered in Armonk, New York.

Statistics (YTD)

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TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Using this definition on our asset we see for example:
  • The total return, or increase in value over 5 years of International Business Machines is 117.6%, which is higher, thus better compared to the benchmark SPY (87.1%) in the same period.
  • Looking at total return, or performance in of 84% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (82.9%).

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Applying this definition to our asset in some examples:
  • Looking at the annual performance (CAGR) of 16.9% in the last 5 years of International Business Machines, we see it is relatively higher, thus better in comparison to the benchmark SPY (13.4%)
  • Looking at compounded annual growth rate (CAGR) in of 22.7% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (22.4%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the 30 days standard deviation of 30.1% of International Business Machines is larger, thus worse.
  • During the last 3 years, the volatility is 34.7%, which is higher, thus worse than the value of 15.4% from the benchmark.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 22% of International Business Machines is greater, thus worse.
  • Looking at downside volatility in of 25.5% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (10.3%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of International Business Machines is 0.48, which is lower, thus worse compared to the benchmark SPY (0.63) in the same period.
  • Compared with SPY (1.3) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.58 is smaller, thus worse.

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Using this definition on our asset we see for example:
  • Looking at the downside risk / excess return profile of 0.66 in the last 5 years of International Business Machines, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.92)
  • During the last 3 years, the excess return divided by the downside deviation is 0.79, which is lower, thus worse than the value of 1.94 from the benchmark.

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Using this definition on our asset we see for example:
  • The Ulcer Index over 5 years of International Business Machines is 11 , which is higher, thus worse compared to the benchmark SPY (8.46 ) in the same period.
  • During the last 3 years, the Ulcer Ratio is 12 , which is higher, thus worse than the value of 3.37 from the benchmark.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Applying this definition to our asset in some examples:
  • The maximum reduction from previous high over 5 years of International Business Machines is -37.5 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum DrawDown of -37.5 days is smaller, thus worse.

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.'

Which means for our asset as example:
  • Looking at the maximum days below previous high of 174 days in the last 5 years of International Business Machines, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days under water of 135 days is higher, thus worse.

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.'

Which means for our asset as example:
  • The average days below previous high over 5 years of International Business Machines is 43 days, which is smaller, thus better compared to the benchmark SPY (119 days) in the same period.
  • Looking at average days under water in of 35 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (18 days).

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of International Business Machines are hypothetical and do not account for slippage, fees or taxes.