Transamerica International Stock Fund Market Value
| TIHJX Fund | USD 11.80 0.14 1.20% |
| Symbol | Transamerica |
Transamerica International '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 Transamerica International'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 Transamerica International.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Transamerica International on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Transamerica International Stock or generate 0.0% return on investment in Transamerica International over 30 days. Transamerica International is related to or competes with Transamerica Emerging, Transamerica Emerging, Transamerica Emerging, Transamerica Capital, Transamerica Growth, Transamerica Large, and Transamerica Emerging. The fund invests, under normal market conditions, at least 80 percent of its net assets in equity securities of companie... More
Transamerica International 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 Transamerica International'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 Transamerica International Stock upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.656 | |||
| Information Ratio | 0.0289 | |||
| Maximum Drawdown | 3.04 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.26 |
Transamerica International Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Transamerica International's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Transamerica International's standard deviation. In reality, there are many statistical measures that can use Transamerica International historical prices to predict the future Transamerica International's volatility.| Risk Adjusted Performance | 0.1008 | |||
| Jensen Alpha | 0.0323 | |||
| Total Risk Alpha | 0.0125 | |||
| Sortino Ratio | 0.0294 | |||
| Treynor Ratio | 0.1178 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Transamerica International'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.
Transamerica International Backtested Returns
We consider Transamerica International very steady. Transamerica International owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the fund had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Transamerica International Stock, which you can use to evaluate the volatility of the fund. Please validate Transamerica International's Semi Deviation of 0.448, coefficient of variation of 615.96, and Risk Adjusted Performance of 0.1008 to confirm if the risk estimate we provide is consistent with the expected return of 0.0904%. The entity has a beta of 0.84, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Transamerica International's returns are expected to increase less than the market. However, during the bear market, the loss of holding Transamerica International is expected to be smaller as well.
Auto-correlation | 0.27 |
Poor predictability
Transamerica International Stock has poor predictability. Overlapping area represents the amount of predictability between Transamerica International time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Transamerica International price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Transamerica International price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Transamerica International lagged returns against current returns
Autocorrelation, which is Transamerica International 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 Transamerica International's mutual fund expected returns. We can calculate the autocorrelation of Transamerica International returns to help us make a trade decision. For example, suppose you find that Transamerica International 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 |
Transamerica International 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 Transamerica International mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Transamerica International mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Transamerica International mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Transamerica International Lagged Returns
When evaluating Transamerica International's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Transamerica International mutual fund have on its future price. Transamerica International 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, Transamerica International autocorrelation shows the relationship between Transamerica International mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Transamerica International Stock.
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 Transamerica International 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, Transamerica International's short interest history, or implied volatility extrapolated from Transamerica International options trading.
Currently Active Assets on Macroaxis
Check out Transamerica International Correlation, Transamerica International Volatility and Transamerica International Alpha and Beta module to complement your research on Transamerica International. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Transamerica International 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.