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.'

Applying this definition to our asset in some examples:
  • Looking at the total return of 8.1% in the last 5 years of Akamai Technologies, we see it is relatively lower, thus worse in comparison to the benchmark SPY (81.1%)
  • During the last 3 years, the total return, or performance is 46.6%, which is lower, thus worse than the value of 79.6% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (12.7%) in the period of the last 5 years, the annual performance (CAGR) of 1.6% of Akamai Technologies is lower, thus worse.
  • During the last 3 years, the annual performance (CAGR) is 13.6%, which is smaller, thus worse than the value of 21.6% from the benchmark.

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.'

Which means for our asset as example:
  • The volatility over 5 years of Akamai Technologies is 31.8%, which is higher, thus worse compared to the benchmark SPY (17%) in the same period.
  • During the last 3 years, the 30 days standard deviation is 34.8%, which is larger, thus worse than the value of 15.1% 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.'

Which means for our asset as example:
  • The downside deviation over 5 years of Akamai Technologies is 23.6%, which is larger, thus worse compared to the benchmark SPY (11.7%) in the same period.
  • Compared with SPY (10.1%) in the period of the last 3 years, the downside volatility of 25.5% 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 -0.03 in the last 5 years of Akamai Technologies, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.6)
  • Compared with SPY (1.27) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.32 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 (0.87) in the period of the last 5 years, the excess return divided by the downside deviation of -0.04 of Akamai Technologies is lower, thus worse.
  • Looking at ratio of annual return and downside deviation in of 0.44 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.9).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Downside risk index of 25 of Akamai Technologies is larger, thus worse.
  • Looking at Ulcer Ratio in of 26 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (3.39 ).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -46.8 days of Akamai Technologies is smaller, thus worse.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum drop from peak to valley of -46.8 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 522 days of Akamai Technologies is higher, thus worse.
  • During the last 3 years, the maximum days below previous high is 522 days, which is larger, thus worse than the value of 87 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average days below previous high of 204 days of Akamai Technologies is greater, thus worse.
  • Compared with SPY (19 days) in the period of the last 3 years, the average days below previous high of 201 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 Akamai Technologies are hypothetical and do not account for slippage, fees or taxes.