Thornburg E Growth Fund Market Value
| THIGX Fund | USD 32.14 0.24 0.74% |
| Symbol | Thornburg |
Thornburg Core 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Thornburg Core's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Thornburg Core.
| 03/18/2024 |
| 04/17/2024 |
If you would invest 0.00 in Thornburg Core on March 18, 2024 and sell it all today you would earn a total of 0.00 from holding Thornburg E Growth or generate 0.0% return on investment in Thornburg Core over 30 days. Thornburg Core is related to or competes with Tax-exempt High, Fidelity Capital, Franklin High, Pia High, Pimco High, and Artisan High. Under normal conditions, the fund invests at least 80 percent of its net assets in small- and mid-capitalization compani... More
Thornburg Core Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Thornburg Core's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Thornburg E Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | 0.0667 | |||
| Maximum Drawdown | 4.39 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 1.62 |
Thornburg Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Thornburg Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Thornburg Core's standard deviation. In reality, there are many statistical measures that can use Thornburg Core historical prices to predict the future Thornburg Core's volatility.| Risk Adjusted Performance | 0.0784 | |||
| Jensen Alpha | 0.0568 | |||
| Total Risk Alpha | 0.0396 | |||
| Sortino Ratio | 0.0625 | |||
| Treynor Ratio | 0.0877 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Thornburg Core's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Thornburg E Growth Backtested Returns
We consider Thornburg Core very steady. Thornburg E Growth owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the fund had a 0.12% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Thornburg E Growth, which you can use to evaluate the volatility of the fund. Please validate Thornburg Core's Risk Adjusted Performance of 0.0784, coefficient of variation of 849.35, and Semi Deviation of 1.01 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. The entity has a beta of 1.35, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Thornburg Core will likely underperform.
Auto-correlation | 0.02 |
Virtually no predictability
Thornburg E Growth has virtually no predictability. Overlapping area represents the amount of predictability between Thornburg Core time series from 18th of March 2024 to 2nd of April 2024 and 2nd of April 2024 to 17th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Thornburg E Growth price movement. The serial correlation of 0.02 indicates that only 2.0% of current Thornburg Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.3 |
Thornburg E Growth lagged returns against current returns
Autocorrelation, which is Thornburg Core mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Thornburg Core's mutual fund expected returns. We can calculate the autocorrelation of Thornburg Core returns to help us make a trade decision. For example, suppose you find that Thornburg Core has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Thornburg Core regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Thornburg Core mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Thornburg Core mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Thornburg Core mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Thornburg Core Lagged Returns
When evaluating Thornburg Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Thornburg Core mutual fund have on its future price. Thornburg Core autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Thornburg Core autocorrelation shows the relationship between Thornburg Core mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Thornburg E Growth.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Thornburg Core in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Thornburg Core's short interest history, or implied volatility extrapolated from Thornburg Core options trading.
Currently Active Assets on Macroaxis
| CRM | Salesforce | |
| TXT | Textron | |
| VECO | Veeco Instruments | |
| AMAT | Applied Materials | |
| CRNT | Ceragon Networks |
Check out Thornburg Core Correlation, Thornburg Core Volatility and Thornburg Core Alpha and Beta module to complement your research on Thornburg Core. Note that the Thornburg E Growth information on this page should be used as a complementary analysis to other Thornburg Core's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Thornburg Core technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.