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:

'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.'

Applying this definition to our asset in some examples:
  • The total return over 5 years of International Business Machines is 109.5%, which is higher, thus better compared to the benchmark SPY (88%) in the same period.
  • Compared with SPY (79.2%) in the period of the last 3 years, the total return, or performance of 79.6% is larger, thus better.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:
  • Looking at the annual return (CAGR) of 16% in the last 5 years of International Business Machines, we see it is relatively higher, thus better in comparison to the benchmark SPY (13.5%)
  • Compared with SPY (21.6%) in the period of the last 3 years, the annual performance (CAGR) of 21.7% is larger, thus better.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the volatility of 30.1% of International Business Machines is larger, thus worse.
  • During the last 3 years, the volatility is 34.7%, which is larger, thus worse than the value of 15.4% from the benchmark.

DownVol:

'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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 21.9% of International Business Machines is greater, thus worse.
  • Compared with SPY (10.3%) in the period of the last 3 years, the downside volatility of 25.4% is higher, thus worse.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:
  • Looking at the Sharpe Ratio of 0.45 in the last 5 years of International Business Machines, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.64)
  • During the last 3 years, the risk / return profile (Sharpe) is 0.55, which is lower, thus worse than the value of 1.24 from the benchmark.

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.'

Which means for our asset as example:
  • The excess return divided by the downside deviation over 5 years of International Business Machines is 0.62, which is lower, thus worse compared to the benchmark SPY (0.93) in the same period.
  • Looking at ratio of annual return and downside deviation in of 0.76 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.85).

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Which means for our asset as example:
  • Looking at the Ulcer Ratio of 10 in the last 5 years of International Business Machines, we see it is relatively higher, thus worse in comparison to the benchmark SPY (8.46 )
  • Compared with SPY (3.38 ) in the period of the last 3 years, the Ulcer Index of 11 is larger, thus worse.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Applying this definition to our asset in some examples:
  • Looking at the maximum drop from peak to valley of -37.5 days in the last 5 years of International Business Machines, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
  • Looking at maximum drop from peak to valley in of -37.5 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 days).

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.'

Using this definition on our asset we see for 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)
  • During the last 3 years, the maximum time in days below previous high water mark is 135 days, which is higher, thus worse than the value of 87 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.'

Which means for our asset as example:
  • Looking at the average days under water of 43 days in the last 5 years of International Business Machines, we see it is relatively lower, thus better in comparison to the benchmark SPY (119 days)
  • 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.