Description

Texas Instruments Incorporated designs, manufactures, and sells semiconductors to electronics designers and manufacturers worldwide. It operates in two segments, Analog and Embedded Processing. The Analog segment offers power products to manage power requirements in various levels using battery management solutions, portable components, power supply controls, point-of-load products, switches and interfaces, integrated protection devices, high-voltage products, and mobile lighting and display products. This segment also provides signal chain products that sense, condition, and measure signals to allow information to be transferred or converted for further processing and control for use in end markets, including amplifiers, data converters, interface products, motor drives, clocks, and sensing products.; and high volume products comprising integrated analog and standard products, which are primarily for sale into personal electronics, industrial, and automotive markets. The Embedded Processing segment offers connected microcontrollers, such as microcontrollers, microcontrollers with integrated wireless capabilities, and stand-alone wireless connectivity solutions that are used in electronic equipment; digital signal processors for mathematical computations; and applications processors for specific computing activity. This segment offers products for use in various markets, such as industrial, automotive, Personal electronics, communications equipment, enterprise systems, and calculators and other. The company also provides DLP products primarily for use in projectors to create high-definition images; calculators; and application-specific integrated circuits. Texas Instruments Incorporated markets and sells its semiconductor products through direct sales and distributors, as well as through its website. The company was founded in 1930 and is headquartered in Dallas, Texas.

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

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.'

Which means for our asset as example:
  • Looking at the total return of 84.4% in the last 5 years of Texas Instruments, we see it is relatively lower, thus worse in comparison to the benchmark SPY (85.8%)
  • Looking at total return in of 81.8% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (74.4%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 13.1% in the last 5 years of Texas Instruments, we see it is relatively lower, thus worse in comparison to the benchmark SPY (13.3%)
  • Compared with SPY (20.5%) in the period of the last 3 years, the annual return (CAGR) of 22.2% 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.'

Using this definition on our asset we see for example:
  • Looking at the volatility of 33.3% in the last 5 years of Texas Instruments, we see it is relatively higher, thus worse in comparison to the benchmark SPY (17.2%)
  • During the last 3 years, the 30 days standard deviation is 36.4%, which is higher, thus worse than the value of 15.3% from the benchmark.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 22.2% of Texas Instruments is higher, thus worse.
  • During the last 3 years, the downside risk is 23.6%, which is larger, thus worse than the value of 10.3% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the risk / return profile (Sharpe) of 0.32 in the last 5 years of Texas Instruments, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.63)
  • During the last 3 years, the Sharpe Ratio is 0.54, which is smaller, thus worse than the value of 1.18 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.'

Applying this definition to our asset in some examples:
  • Looking at the excess return divided by the downside deviation of 0.48 in the last 5 years of Texas Instruments, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.91)
  • During the last 3 years, the excess return divided by the downside deviation is 0.83, which is smaller, thus worse than the value of 1.75 from the benchmark.

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:
  • Looking at the Ulcer Index of 13 in the last 5 years of Texas Instruments, we see it is relatively greater, thus worse in comparison to the benchmark SPY (8.46 )
  • During the last 3 years, the Ulcer Ratio is 13 , which is greater, thus worse than the value of 3.52 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.'

Using this definition on our asset we see for example:
  • Looking at the maximum reduction from previous high of -33.4 days in the last 5 years of Texas Instruments, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum DrawDown of -33.4 days is lower, 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Using this definition on our asset we see for example:
  • Looking at the maximum days under water of 640 days in the last 5 years of Texas Instruments, we see it is relatively larger, thus worse in comparison to the benchmark SPY (488 days)
  • Looking at maximum days below previous high in of 196 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (87 days).

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. 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 191 days of Texas Instruments is higher, thus worse.
  • Looking at average days under water in of 64 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (21 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 Texas Instruments are hypothetical and do not account for slippage, fees or taxes.