Description

Akamai Technologies, Inc. provides cloud services for delivering, optimizing, and securing content and business applications over the Internet in the United States and internationally. It provides Web Application Protector to safeguard web assets from web application and distributed denial of service; Kona Site Defender, a cloud security solution; Bot Manager to identify bots and categorize bots based on business or IT impact; Edge DNS, which translates human-readable domain names into numerical IP addresses; Site Shield that prevents attacker from directly targeting the application origin and forces traffic to go through its network, where attack can be better detected and mitigated; identity Cloud, a customer identity access management solution; Prolexic Routed to protect web- and IP-based application; and Client Reputation that assigns risk scores to malicious IP address and enables customers to take action on individual clients. It also offers Enterprise Application Access that enables adaptive access to application; Enterprise Threat Protector to enable enterprise security teams to identify, block, and mitigate targeted attack; Ion, a suite of intelligent performance optimization tool and control; Dynamic Site Accelerator to accelerate and secure interactive website; Image Manager that automatically optimizes online images; CloudTest to conduct load testing and other analysis of website in a pre-production environment; and mPulse that provides real-time website performance data for customers to enhance their digital experiences. In addition, the company provides Aura Managed CDN, DNS Infrastructure, and security and personalization service; and adaptive delivery, download delivery, media service live, and media analytic solutions, as well as NetStorage, a cloud storage solution. It sells its solutions through direct sales and service organizations; and various channel partners. The company was founded in 1998 and is headquartered in Cambridge, Massachusetts.

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:
  • The total return, or performance over 5 years of Akamai Technologies is 29.5%, which is smaller, thus worse compared to the benchmark SPY (86.8%) in the same period.
  • Looking at total return in of -4.9% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (26.3%).

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.'

Using this definition on our asset we see for example:
  • Looking at the compounded annual growth rate (CAGR) of 5.3% in the last 5 years of Akamai Technologies, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (13.3%)
  • Looking at annual return (CAGR) in of -1.7% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (8.1%).

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (20.9%) in the period of the last 5 years, the volatility of 28.5% of Akamai Technologies is larger, thus worse.
  • Compared with SPY (17.3%) in the period of the last 3 years, the volatility of 25.1% is higher, thus worse.

DownVol:

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

Which means for our asset as example:
  • The downside deviation over 5 years of Akamai Technologies is 20.7%, which is larger, thus worse compared to the benchmark SPY (15%) in the same period.
  • Compared with SPY (12.1%) in the period of the last 3 years, the downside volatility of 18.5% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.52) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.1 of Akamai Technologies is lower, thus worse.
  • Compared with SPY (0.32) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of -0.17 is lower, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.72) in the period of the last 5 years, the downside risk / excess return profile of 0.14 of Akamai Technologies is lower, thus worse.
  • Looking at ratio of annual return and downside deviation in of -0.22 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.46).

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.'

Using this definition on our asset we see for example:
  • The Ulcer Ratio over 5 years of Akamai Technologies is 16 , which is higher, thus worse compared to the benchmark SPY (9.33 ) in the same period.
  • During the last 3 years, the Downside risk index is 20 , which is higher, thus worse 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -42 days of Akamai Technologies is lower, thus worse.
  • During the last 3 years, the maximum reduction from previous high is -42 days, which is smaller, thus worse 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.'

Which means for our asset as example:
  • Looking at the maximum time in days below previous high water mark of 440 days in the last 5 years of Akamai Technologies, we see it is relatively smaller, 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 440 days, which is smaller, thus better than the value of 488 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (122 days) in the period of the last 5 years, the average time in days below previous high water mark of 128 days of Akamai Technologies is higher, thus worse.
  • Looking at average time in days below previous high water mark in of 154 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (178 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 Akamai Technologies are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.