O I Glass Stock Market Value
| OI Stock | USD 14.85 0.04 0.27% |
| Symbol | O I |
O I Glass Price To Book Ratio
Is O I'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 O I. If investors know O I 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 O I 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 (0.78) | Earnings Share (0.67) | Revenue Per Share 45.942 | Quarterly Revenue Growth (0.03) | Return On Assets 0.0565 |
The market value of O I Glass is measured differently than its book value, which is the value of O I that is recorded on the company's balance sheet. Investors also form their own opinion of O I's value that differs from its market value or its book value, called intrinsic value, which is O I'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 O I's market value can be influenced by many factors that don't directly affect O I'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 O I's value and its price as these two are different measures arrived at by different means. Investors typically determine if O I is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, O I'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.
O I '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 O I'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 O I.
| 03/01/2023 |
| 04/24/2024 |
If you would invest 0.00 in O I on March 1, 2023 and sell it all today you would earn a total of 0.00 from holding O I Glass or generate 0.0% return on investment in O I over 420 days. O I is related to or competes with Karat Packaging, Reynolds Consumer, Pactiv Evergreen, Packaging Corp, Avery Dennison, and WestRock. O-I Glass, Inc., through its subsidiaries, manufactures and sells glass containers to food and beverage manufacturers pr... More
O I 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 O I'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 O I Glass upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.0 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 20.78 | |||
| Value At Risk | (3.74) | |||
| Potential Upside | 3.72 |
O I Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for O I's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as O I's standard deviation. In reality, there are many statistical measures that can use O I historical prices to predict the future O I's volatility.| Risk Adjusted Performance | 0.02 | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.36) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0279 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of O I'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.
O I Glass Backtested Returns
We consider O I not too volatile. O I Glass maintains Sharpe Ratio (i.e., Efficiency) of 0.0092, which implies the company had a 0.0092% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for O I Glass, which you can use to evaluate the volatility of the entity. Please check O I's coefficient of variation of 5147.16, and Market Risk Adjusted Performance of 0.0379 to confirm if the risk estimate we provide is consistent with the expected return of 0.03%. The firm holds a Beta of 1.85, which implies 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, O I will likely underperform. O I Glass today holds a risk of 3.24%. Please check O I Glass downside variance, and the relationship between the sortino ratio and accumulation distribution , to decide if O I Glass will be following its historical price patterns.
Auto-correlation | 0.11 |
Insignificant predictability
O I Glass has insignificant predictability. Overlapping area represents the amount of predictability between O I time series from 1st of March 2023 to 27th of September 2023 and 27th of September 2023 to 24th 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 O I Glass price movement. The serial correlation of 0.11 indicates that less than 11.0% of current O I price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.61 |
O I Glass lagged returns against current returns
Autocorrelation, which is O I 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 O I's stock expected returns. We can calculate the autocorrelation of O I returns to help us make a trade decision. For example, suppose you find that O I 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 |
O I 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 O I stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if O I stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in O I stock over time.
Current vs Lagged Prices |
| Timeline |
O I Lagged Returns
When evaluating O I's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of O I stock have on its future price. O I 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, O I autocorrelation shows the relationship between O I stock current value and its past values and can show if there is a momentum factor associated with investing in O I Glass.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out O I Correlation, O I Volatility and O I Alpha and Beta module to complement your research on O I. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Complementary Tools for O I Stock analysis
When running O I's price analysis, check to measure O I'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 O I is operating at the current time. Most of O I's value examination focuses on studying past and present price action to predict the probability of O I's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move O I's price. Additionally, you may evaluate how the addition of O I to your portfolios can decrease your overall portfolio volatility.
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data |
O I 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.