BNP Paribas (France) Market Value
| GEU3D Etf | 10.27 0.01 0.1% |
| Symbol | BNP |
BNP Paribas '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 BNP Paribas' etf 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 BNP Paribas.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in BNP Paribas on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding BNP Paribas Easy or generate 0.0% return on investment in BNP Paribas over 30 days.
BNP Paribas 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 BNP Paribas' etf 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 BNP Paribas Easy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1356 | |||
| Information Ratio | (1.16) | |||
| Maximum Drawdown | 0.4903 | |||
| Value At Risk | (0.1) | |||
| Potential Upside | 0.1957 |
BNP Paribas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BNP Paribas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BNP Paribas' standard deviation. In reality, there are many statistical measures that can use BNP Paribas historical prices to predict the future BNP Paribas' volatility.| Risk Adjusted Performance | 0.0846 | |||
| Jensen Alpha | 0.0077 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.82) | |||
| Treynor Ratio | 0.6939 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BNP Paribas' 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.
BNP Paribas Easy Backtested Returns
Currently, BNP Paribas Easy is very steady. BNP Paribas Easy secures Sharpe Ratio (or Efficiency) of 0.2, which signifies that the etf had a 0.2% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for BNP Paribas Easy, which you can use to evaluate the volatility of the entity. Please confirm BNP Paribas' mean deviation of 0.0745, and Risk Adjusted Performance of 0.0846 to double-check if the risk estimate we provide is consistent with the expected return of 0.0199%. The etf shows a Beta (market volatility) of 0.0135, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BNP Paribas' returns are expected to increase less than the market. However, during the bear market, the loss of holding BNP Paribas is expected to be smaller as well.
Auto-correlation | 0.64 |
Good predictability
BNP Paribas Easy has good predictability. Overlapping area represents the amount of predictability between BNP Paribas time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 BNP Paribas Easy price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current BNP Paribas price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
BNP Paribas Easy lagged returns against current returns
Autocorrelation, which is BNP Paribas etf'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 BNP Paribas' etf expected returns. We can calculate the autocorrelation of BNP Paribas returns to help us make a trade decision. For example, suppose you find that BNP Paribas has exhibited high autocorrelation historically, and you observe that the etf 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 |
BNP Paribas 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 BNP Paribas etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BNP Paribas etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BNP Paribas etf over time.
Current vs Lagged Prices |
| Timeline |
BNP Paribas Lagged Returns
When evaluating BNP Paribas' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BNP Paribas etf have on its future price. BNP Paribas 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, BNP Paribas autocorrelation shows the relationship between BNP Paribas etf current value and its past values and can show if there is a momentum factor associated with investing in BNP Paribas Easy.
Regressed Prices |
| Timeline |