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:

'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:
  • Compared with the benchmark SPY (121.6%) in the period of the last 5 years, the total return, or performance of 137.3% of Akamai Technologies is larger, thus better.
  • Compared with SPY (64.5%) in the period of the last 3 years, the total return, or performance of 59.3% is lower, thus worse.

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 annual return (CAGR) of 18.9% in the last 5 years of Akamai Technologies, we see it is relatively higher, thus better in comparison to the benchmark SPY (17.3%)
  • Compared with SPY (18.1%) in the period of the last 3 years, the annual return (CAGR) of 16.8% is lower, thus worse.

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 (18.7%) in the period of the last 5 years, the 30 days standard deviation of 31.3% of Akamai Technologies is greater, thus worse.
  • Compared with SPY (22.5%) in the period of the last 3 years, the historical 30 days volatility of 31.6% is higher, thus worse.

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:
  • Looking at the downside deviation of 22.1% in the last 5 years of Akamai Technologies, we see it is relatively greater, thus worse in comparison to the benchmark SPY (13.5%)
  • Looking at downside risk in of 21.9% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (16.4%).

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:
  • Compared with the benchmark SPY (0.79) in the period of the last 5 years, the Sharpe Ratio of 0.52 of Akamai Technologies is lower, thus worse.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.45, which is lower, thus worse than the value of 0.69 from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the ratio of annual return and downside deviation of 0.74 in the last 5 years of Akamai Technologies, we see it is relatively lower, thus worse in comparison to the benchmark SPY (1.09)
  • During the last 3 years, the downside risk / excess return profile is 0.65, which is smaller, thus worse than the value of 0.95 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (5.58 ) in the period of the last 5 years, the Downside risk index of 14 of Akamai Technologies is larger, thus worse.
  • Looking at Downside risk index in of 9.34 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (6.83 ).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -36.9 days of Akamai Technologies is lower, thus worse.
  • Looking at maximum DrawDown in of -25 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (-33.7 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.'

Applying this definition to our asset in some examples:
  • The maximum days under water over 5 years of Akamai Technologies is 271 days, which is greater, thus worse compared to the benchmark SPY (139 days) in the same period.
  • Looking at maximum days below previous high in of 146 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (139 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.'

Applying this definition to our asset in some examples:
  • The average time in days below previous high water mark over 5 years of Akamai Technologies is 80 days, which is greater, thus worse compared to the benchmark SPY (33 days) in the same period.
  • Compared with SPY (35 days) in the period of the last 3 years, the average time in days below previous high water mark of 45 days is greater, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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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.