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)

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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.'

Using this definition on our asset we see for example:
  • The total return, or increase in value over 5 years of Texas Instruments is 67.9%, which is lower, thus worse compared to the benchmark SPY (90%) in the same period.
  • During the last 3 years, the total return, or increase in value is 91.9%, which is greater, thus better than the value of 85% 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (13.8%) in the period of the last 5 years, the annual performance (CAGR) of 11% of Texas Instruments is lower, thus worse.
  • Looking at annual return (CAGR) in of 24.4% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (22.9%).

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 (17.2%) in the period of the last 5 years, the historical 30 days volatility of 33.7% of Texas Instruments is higher, thus worse.
  • During the last 3 years, the 30 days standard deviation is 36.8%, which is greater, thus worse than the value of 15.3% 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:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 22.4% of Texas Instruments is greater, thus worse.
  • Looking at downside deviation in of 23.8% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10.2%).

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 risk / return profile (Sharpe) of 0.25 in the last 5 years of Texas Instruments, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.66)
  • During the last 3 years, the Sharpe Ratio is 0.6, which is smaller, thus worse than the value of 1.33 from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the ratio of annual return and downside deviation of 0.38 in the last 5 years of Texas Instruments, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.96)
  • Looking at excess return divided by the downside deviation in of 0.92 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (2).

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:
  • The Ulcer Ratio over 5 years of Texas Instruments is 13 , which is higher, thus worse compared to the benchmark SPY (8.45 ) in the same period.
  • Compared with SPY (3.23 ) in the period of the last 3 years, the Downside risk index of 13 is higher, thus worse.

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 reduction from previous high of -33.4 days of Texas Instruments is smaller, thus worse.
  • Looking at maximum DrawDown 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 under water 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.
  • Looking at maximum time in days below previous high water mark in of 163 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 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.'

Which means for our asset as example:
  • The average days below previous high over 5 years of Texas Instruments is 193 days, which is higher, thus worse compared to the benchmark SPY (119 days) in the same period.
  • Compared with SPY (17 days) in the period of the last 3 years, the average days under water of 44 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.