Description of Texas Instruments

Texas Instruments Incorporated - Common Stock

Statistics of Texas Instruments (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 173.6%, which is larger, thus better compared to the benchmark SPY (66%) in the same period.
  • During the last 3 years, the total return is 94.3%, which is larger, thus better than the value of 45.6% 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:
  • Looking at the annual performance (CAGR) of 22.3% in the last 5 years of Texas Instruments, we see it is relatively larger, thus better in comparison to the benchmark SPY (10.7%)
  • Compared with SPY (13.3%) in the period of the last 3 years, the annual performance (CAGR) of 24.8% is larger, thus better.

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.'

Using this definition on our asset we see for example:
  • The historical 30 days volatility over 5 years of Texas Instruments is 24.4%, which is greater, thus worse compared to the benchmark SPY (13.4%) in the same period.
  • Compared with SPY (12.3%) in the period of the last 3 years, the historical 30 days volatility of 24.3% is larger, thus worse.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Which means for our asset as example:
  • Looking at the downside volatility of 26.3% in the last 5 years of Texas Instruments, we see it is relatively greater, thus worse in comparison to the benchmark SPY (14.6%)
  • During the last 3 years, the downside deviation is 26.8%, which is larger, thus worse than the value of 13.8% from the benchmark.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Which means for our asset as example:
  • The risk / return profile (Sharpe) over 5 years of Texas Instruments is 0.81, which is greater, thus better compared to the benchmark SPY (0.61) in the same period.
  • Compared with SPY (0.88) in the period of the last 3 years, the Sharpe Ratio of 0.92 is higher, thus better.

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 (0.56) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.75 of Texas Instruments is higher, thus better.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.83, which is greater, thus better than the value of 0.78 from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (3.99 ) in the period of the last 5 years, the Downside risk index of 8.24 of Texas Instruments is higher, thus worse.
  • During the last 3 years, the Ulcer Ratio is 7.97 , which is higher, thus worse than the value of 4.04 from the benchmark.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:
  • The maximum drop from peak to valley over 5 years of Texas Instruments is -26.4 days, which is smaller, thus worse compared to the benchmark SPY (-19.3 days) in the same period.
  • Looking at maximum DrawDown in of -24.9 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-19.3 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.'

Using this definition on our asset we see for example:
  • The maximum days under water over 5 years of Texas Instruments is 306 days, which is higher, thus worse compared to the benchmark SPY (187 days) in the same period.
  • During the last 3 years, the maximum days below previous high is 306 days, which is greater, thus worse than the value of 139 days from the benchmark.

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:
  • Looking at the average days below previous high of 70 days in the last 5 years of Texas Instruments, we see it is relatively greater, thus worse in comparison to the benchmark SPY (41 days)
  • Compared with SPY (36 days) in the period of the last 3 years, the average days under water of 80 days is greater, thus worse.

Performance of Texas Instruments (YTD)

Historical returns have been extended using synthetic data.

Allocations of Texas Instruments
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Allocations

Returns of Texas Instruments (%)

  • "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
  • Performance results of Texas Instruments are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.