3i Group Plc Stock Market Value
TGOPF Stock | USD 34.80 0.45 1.28% |
Symbol | TGOPF |
3i Group '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 3i Group's pink sheet 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 3i Group.
05/24/2023 |
| 04/18/2024 |
If you would invest 0.00 in 3i Group on May 24, 2023 and sell it all today you would earn a total of 0.00 from holding 3i Group plc or generate 0.0% return on investment in 3i Group over 330 days. 3i Group is related to or competes with Flow Capital, and AGF Management. 3i Group plc is a private equity firm specializing in mature companies, growth capital, middle markets, infrastructure, ... More
3i Group 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 3i Group's pink sheet 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 3i Group plc upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.27 | |||
Information Ratio | 0.0868 | |||
Maximum Drawdown | 11.65 | |||
Value At Risk | (2.00) | |||
Potential Upside | 3.45 |
3i Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 3i Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 3i Group's standard deviation. In reality, there are many statistical measures that can use 3i Group historical prices to predict the future 3i Group's volatility.Risk Adjusted Performance | 0.0782 | |||
Jensen Alpha | 0.1979 | |||
Total Risk Alpha | 0.0767 | |||
Sortino Ratio | 0.0813 | |||
Treynor Ratio | 0.3254 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of 3i Group'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.
3i Group plc Backtested Returns
3i Group appears to be very steady, given 3 months investment horizon. 3i Group plc retains Efficiency (Sharpe Ratio) of 0.12, which signifies that the company had a 0.12% return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for 3i Group, which you can use to evaluate the volatility of the firm. Please makes use of 3i Group's Coefficient Of Variation of 885.84, standard deviation of 2.13, and Market Risk Adjusted Performance of 0.3354 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, 3i Group holds a performance score of 9. The firm owns a Beta (Systematic Risk) of 0.71, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, 3i Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding 3i Group is expected to be smaller as well. Please check 3i Group's value at risk, rate of daily change, and the relationship between the total risk alpha and expected short fall , to make a quick decision on whether 3i Group's current price history will revert.
Auto-correlation | 0.21 |
Weak predictability
3i Group plc has weak predictability. Overlapping area represents the amount of predictability between 3i Group time series from 24th of May 2023 to 5th of November 2023 and 5th of November 2023 to 18th 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 3i Group plc price movement. The serial correlation of 0.21 indicates that over 21.0% of current 3i Group price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.21 | |
Spearman Rank Test | 0.14 | |
Residual Average | 0.0 | |
Price Variance | 8.48 |
3i Group plc lagged returns against current returns
Autocorrelation, which is 3i Group pink sheet'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 3i Group's pink sheet expected returns. We can calculate the autocorrelation of 3i Group returns to help us make a trade decision. For example, suppose you find that 3i Group has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
3i Group 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 3i Group pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 3i Group pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 3i Group pink sheet over time.
Current vs Lagged Prices |
Timeline |
3i Group Lagged Returns
When evaluating 3i Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 3i Group pink sheet have on its future price. 3i Group 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, 3i Group autocorrelation shows the relationship between 3i Group pink sheet current value and its past values and can show if there is a momentum factor associated with investing in 3i Group plc.
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 3i Group 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, 3i Group's short interest history, or implied volatility extrapolated from 3i Group options trading.
Currently Active Assets on Macroaxis
Check out 3i Group Correlation, 3i Group Volatility and 3i Group Alpha and Beta module to complement your research on 3i Group. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Complementary Tools for TGOPF Pink Sheet analysis
When running 3i Group's price analysis, check to measure 3i Group's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy 3i Group is operating at the current time. Most of 3i Group's value examination focuses on studying past and present price action to predict the probability of 3i Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move 3i Group's price. Additionally, you may evaluate how the addition of 3i Group to your portfolios can decrease your overall portfolio volatility.
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3i Group technical pink sheet 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, pink sheet market cycles, or different charting patterns.