Description

NVIDIA Corporation operates as a visual computing company worldwide. It operates in two segments, GPU and Tegra Processor. The GPU segment offers processors, which include GeForce for PC gaming and mainstream PCs; GeForce NOW for cloud-based gaming; Quadro for design professionals working in computer-aided design, video editing, special effects, and other creative applications; Tesla for artificial intelligence (AI) utilizing deep learning, accelerated computing, and general purpose computing; GRID, which provides power of NVIDIA graphics through the cloud and datacenters; DGX for AI scientists, researchers, and developers; and EGX for accelerated AI computing at the edge. The Tegra Processor segment provides processors comprising SHIELD devices and services designed to harness the power of mobile-cloud to revolutionize home entertainment, AI, and gaming; AGX, a power-efficient AI computing platform for intelligent edge devices; DRIVE AGX for self-driving vehicles; Clara AGX for medical instruments; and Jetson AGX for robotics and other embedded use. The company's products are used in gaming, professional visualization, datacenter, and automotive markets. NVIDIA Corporation sells its products to original equipment manufacturers, original device manufacturers, system builders, add-in board manufacturers, retailers/distributors, Internet and cloud service providers, automotive manufacturers and tier-1 automotive suppliers, mapping companies, start-ups, and other ecosystem participants. NVIDIA Corporation was founded in 1993 and is headquartered in Santa Clara, California.

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:
  • Compared with the benchmark SPY (107.7%) in the period of the last 5 years, the total return, or performance of 2435.6% of NVIDIA is higher, thus better.
  • Looking at total return in of 348% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (33.8%).

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:
  • The annual performance (CAGR) over 5 years of NVIDIA is 91.1%, which is higher, thus better compared to the benchmark SPY (15.8%) in the same period.
  • Compared with SPY (10.2%) in the period of the last 3 years, the annual return (CAGR) of 65.2% is larger, thus better.

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 53.8% of NVIDIA is greater, thus worse.
  • During the last 3 years, the volatility is 55.7%, which is greater, thus worse than the value of 17.5% from the benchmark.

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:
  • Looking at the downside deviation of 34.4% in the last 5 years of NVIDIA, we see it is relatively greater, thus worse in comparison to the benchmark SPY (14.9%)
  • Compared with SPY (12.2%) in the period of the last 3 years, the downside deviation of 35.3% 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.63) in the period of the last 5 years, the Sharpe Ratio of 1.65 of NVIDIA is larger, thus better.
  • Compared with SPY (0.44) in the period of the last 3 years, the Sharpe Ratio of 1.13 is larger, thus better.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.89) in the period of the last 5 years, the excess return divided by the downside deviation of 2.58 of NVIDIA is higher, thus better.
  • Looking at excess return divided by the downside deviation in of 1.77 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.63).

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.'

Using this definition on our asset we see for example:
  • Looking at the Downside risk index of 24 in the last 5 years of NVIDIA, we see it is relatively higher, thus worse in comparison to the benchmark SPY (9.32 )
  • Looking at Ulcer Ratio in of 27 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (10 ).

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Applying this definition to our asset in some examples:
  • The maximum reduction from previous high over 5 years of NVIDIA is -66.3 days, which is lower, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • During the last 3 years, the maximum DrawDown is -63.7 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.'

Using this definition on our asset we see for example:
  • The maximum days below previous high over 5 years of NVIDIA is 373 days, which is smaller, thus better compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum time in days below previous high water mark is 349 days, which is lower, 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.'

Using this definition on our asset we see for example:
  • Looking at the average days below previous high of 76 days in the last 5 years of NVIDIA, we see it is relatively smaller, thus better in comparison to the benchmark SPY (123 days)
  • Compared with SPY (178 days) in the period of the last 3 years, the average days under water of 99 days is lower, thus better.

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 NVIDIA are hypothetical and do not account for slippage, fees or taxes.