Citigroup Stock Market Value
| C Stock | USD 58.56 1.12 1.88% |
| Symbol | Citigroup |
Citigroup Price To Book Ratio
Is Citigroup's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Citigroup. If investors know Citigroup will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Citigroup listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.28) | Dividend Share 2.1 | Earnings Share 4.04 | Revenue Per Share 36.239 | Quarterly Revenue Growth (0.05) |
The market value of Citigroup is measured differently than its book value, which is the value of Citigroup that is recorded on the company's balance sheet. Investors also form their own opinion of Citigroup's value that differs from its market value or its book value, called intrinsic value, which is Citigroup's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Citigroup's market value can be influenced by many factors that don't directly affect Citigroup's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Citigroup's value and its price as these two are different measures arrived at by different means. Investors typically determine if Citigroup is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Citigroup's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Citigroup '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 Citigroup's stock 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 Citigroup.
| 10/18/2023 |
| 04/15/2024 |
If you would invest 0.00 in Citigroup on October 18, 2023 and sell it all today you would earn a total of 0.00 from holding Citigroup or generate 0.0% return on investment in Citigroup over 180 days. Citigroup is related to or competes with JPMorgan Chase, Wells Fargo, Toronto Dominion, Nu Holdings, Bank of America, HSBC Holdings, and Royal Bank. Citigroup Inc., a diversified financial services holding company, provides various financial products and services to co... More
Citigroup 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 Citigroup's stock 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 Citigroup upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.17 | |||
| Information Ratio | 0.0835 | |||
| Maximum Drawdown | 7.9 | |||
| Value At Risk | (1.83) | |||
| Potential Upside | 2.28 |
Citigroup Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Citigroup's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Citigroup's standard deviation. In reality, there are many statistical measures that can use Citigroup historical prices to predict the future Citigroup's volatility.| Risk Adjusted Performance | 0.0933 | |||
| Jensen Alpha | 0.0887 | |||
| Total Risk Alpha | 0.0326 | |||
| Sortino Ratio | 0.0955 | |||
| Treynor Ratio | 0.1347 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Citigroup'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.
Citigroup Backtested Returns
Citigroup appears to be very steady, given 3 months investment horizon. Citigroup secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Citigroup, which you can use to evaluate the volatility of the firm. Please makes use of Citigroup's Downside Deviation of 1.17, mean deviation of 0.9965, and Risk Adjusted Performance of 0.0933 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Citigroup holds a performance score of 12. The firm shows a Beta (market volatility) of 1.33, which signifies 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, Citigroup will likely underperform. Please check Citigroup's sortino ratio, potential upside, skewness, as well as the relationship between the maximum drawdown and semi variance , to make a quick decision on whether Citigroup's price patterns will revert.
Auto-correlation | 0.91 |
Excellent predictability
Citigroup has excellent predictability. Overlapping area represents the amount of predictability between Citigroup time series from 18th of October 2023 to 16th of January 2024 and 16th of January 2024 to 15th 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 Citigroup price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current Citigroup price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.91 | |
| Spearman Rank Test | 0.93 | |
| Residual Average | 0.0 | |
| Price Variance | 11.65 |
Citigroup lagged returns against current returns
Autocorrelation, which is Citigroup stock'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 Citigroup's stock expected returns. We can calculate the autocorrelation of Citigroup returns to help us make a trade decision. For example, suppose you find that Citigroup has exhibited high autocorrelation historically, and you observe that the stock 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 |
Citigroup 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 Citigroup stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Citigroup stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Citigroup stock over time.
Current vs Lagged Prices |
| Timeline |
Citigroup Lagged Returns
When evaluating Citigroup's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Citigroup stock have on its future price. Citigroup 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, Citigroup autocorrelation shows the relationship between Citigroup stock current value and its past values and can show if there is a momentum factor associated with investing in Citigroup.
Regressed Prices |
| Timeline |
Pair Trading with Citigroup
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Citigroup position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Citigroup will appreciate offsetting losses from the drop in the long position's value.Moving together with Citigroup Stock
| 0.88 | CM | Canadian Imperial Bank Financial Report 23rd of May 2024 | PairCorr |
| 0.72 | RY | Royal Bank Financial Report 23rd of May 2024 | PairCorr |
| 0.9 | BML-PG | Bank of America | PairCorr |
The ability to find closely correlated positions to Citigroup could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Citigroup when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Citigroup - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Citigroup to buy it.
The correlation of Citigroup is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Citigroup moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Citigroup moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Citigroup can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Citigroup Correlation, Citigroup Volatility and Citigroup Alpha and Beta module to complement your research on Citigroup. For information on how to trade Citigroup Stock refer to our How to Trade Citigroup Stock guide.Note that the Citigroup information on this page should be used as a complementary analysis to other Citigroup'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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Complementary Tools for Citigroup Stock analysis
When running Citigroup's price analysis, check to measure Citigroup'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 Citigroup is operating at the current time. Most of Citigroup's value examination focuses on studying past and present price action to predict the probability of Citigroup's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Citigroup's price. Additionally, you may evaluate how the addition of Citigroup to your portfolios can decrease your overall portfolio volatility.
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Citigroup technical stock 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, stock market cycles, or different charting patterns.