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.'

Which means for our asset as example:
  • Looking at the total return, or performance of 171.2% in the last 5 years of International Business Machines, we see it is relatively greater, thus better in comparison to the benchmark SPY (109.8%)
  • Compared with SPY (42.5%) in the period of the last 3 years, the total return, or performance of 109% is greater, thus better.

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.'

Which means for our asset as example:
  • Looking at the compounded annual growth rate (CAGR) of 22.2% in the last 5 years of International Business Machines, we see it is relatively higher, thus better in comparison to the benchmark SPY (16%)
  • Compared with SPY (12.6%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 28% is larger, thus better.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Applying this definition to our asset in some examples:
  • The volatility over 5 years of International Business Machines is 24.2%, which is larger, thus worse compared to the benchmark SPY (17.9%) in the same period.
  • Compared with SPY (18.4%) in the period of the last 3 years, the volatility of 23.4% is higher, thus worse.

DownVol:

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

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (12.5%) in the period of the last 5 years, the downside deviation of 16.7% of International Business Machines is greater, thus worse.
  • Compared with SPY (12.6%) in the period of the last 3 years, the downside risk of 15.6% is higher, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the Sharpe Ratio of 0.81 in the last 5 years of International Business Machines, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.75)
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 1.09, which is greater, thus better than the value of 0.55 from the benchmark.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Using this definition on our asset we see for example:
  • The downside risk / excess return profile over 5 years of International Business Machines is 1.18, which is greater, thus better compared to the benchmark SPY (1.08) in the same period.
  • Looking at excess return divided by the downside deviation in of 1.64 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.8).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (8.48 ) in the period of the last 5 years, the Downside risk index of 8 of International Business Machines is lower, thus better.
  • During the last 3 years, the Ulcer Ratio is 7.89 , which is higher, thus worse than the value of 5.54 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the maximum DrawDown of -20.4 days in the last 5 years of International Business Machines, we see it is relatively greater, thus better in comparison to the benchmark SPY (-24.5 days)
  • During the last 3 years, the maximum DrawDown is -17.6 days, which is greater, thus better than the value of -18.8 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.'

Which means for our asset as example:
  • The maximum days below previous high over 5 years of International Business Machines is 216 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum days below previous high in of 174 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (199 days).

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. 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.'

Using this definition on our asset we see for example:
  • Looking at the average days under water of 65 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)
  • Compared with SPY (44 days) in the period of the last 3 years, the average days under water of 47 days is greater, thus worse.

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.