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:

'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:
  • Looking at the total return of 28.9% in the last 5 years of Texas Instruments, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (92.8%)
  • During the last 3 years, the total return, or performance is 18.8%, which is lower, thus worse than the value of 79% from the benchmark.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Applying this definition to our asset in some examples:
  • The annual return (CAGR) over 5 years of Texas Instruments is 5.2%, which is lower, thus worse compared to the benchmark SPY (14.1%) in the same period.
  • Compared with SPY (21.5%) in the period of the last 3 years, the annual return (CAGR) of 5.9% is smaller, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the 30 days standard deviation of 30.7% of Texas Instruments is larger, thus worse.
  • Compared with SPY (15.2%) in the period of the last 3 years, the volatility of 31.4% 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside risk of 21.4% of Texas Instruments is greater, thus worse.
  • Compared with SPY (10.2%) in the period of the last 3 years, the downside risk of 21.8% is greater, 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.'

Applying this definition to our asset in some examples:
  • Looking at the risk / return profile (Sharpe) of 0.09 in the last 5 years of Texas Instruments, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.68)
  • Looking at risk / return profile (Sharpe) in of 0.11 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.25).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Applying this definition to our asset in some examples:
  • Looking at the excess return divided by the downside deviation of 0.13 in the last 5 years of Texas Instruments, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.98)
  • During the last 3 years, the downside risk / excess return profile is 0.16, which is lower, thus worse than the value of 1.87 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The Downside risk index over 5 years of Texas Instruments is 13 , which is higher, thus worse compared to the benchmark SPY (8.42 ) in the same period.
  • During the last 3 years, the Ulcer Ratio is 13 , which is greater, thus worse than the value of 3.51 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.'

Which means for our asset as example:
  • Looking at the maximum DrawDown 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)
  • Looking at maximum reduction from previous high in of -33.4 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 days).

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Which means for our asset as example:
  • The maximum days below previous high over 5 years of Texas Instruments is 640 days, which is higher, thus worse compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days under water is 197 days, which is greater, 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:
  • Looking at the average days under water of 194 days in the last 5 years of Texas Instruments, we see it is relatively greater, thus worse in comparison to the benchmark SPY (119 days)
  • Compared with SPY (21 days) in the period of the last 3 years, the average days below previous high of 66 days is larger, 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 Texas Instruments are hypothetical and do not account for slippage, fees or taxes.