AFW (Korea) Market Value
| 312610 Stock | 1,360 6.00 0.44% |
| Symbol | AFW |
Please note, there is a significant difference between AFW's value and its price as these two are different measures arrived at by different means. Investors typically determine if AFW is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AFW'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.
AFW '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 AFW'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 AFW.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in AFW on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding AFW Co or generate 0.0% return on investment in AFW over 720 days. AFW is related to or competes with Incar Financial, Eugene Technology, KakaoBank Corp, Puloon Technology, Green Cross, Global Standard, and DB Insurance. More
AFW 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 AFW'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 AFW Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.29) | |||
| Maximum Drawdown | 14.48 | |||
| Value At Risk | (3.89) | |||
| Potential Upside | 1.73 |
AFW Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AFW's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AFW's standard deviation. In reality, there are many statistical measures that can use AFW historical prices to predict the future AFW's volatility.| Risk Adjusted Performance | (0.16) | |||
| Jensen Alpha | (0.51) | |||
| Total Risk Alpha | (0.76) | |||
| Treynor Ratio | (0.69) |
AFW Co Backtested Returns
AFW Co secures Sharpe Ratio (or Efficiency) of -0.25, which signifies that the company had a -0.25% return per unit of volatility over the last 3 months. AFW Co exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AFW's mean deviation of 1.24, and Risk Adjusted Performance of (0.16) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.63, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AFW's returns are expected to increase less than the market. However, during the bear market, the loss of holding AFW is expected to be smaller as well. At this point, AFW Co has a negative expected return of -0.5%. Please make sure to confirm AFW's treynor ratio, value at risk, skewness, as well as the relationship between the maximum drawdown and potential upside , to decide if AFW Co performance from the past will be repeated in the future.
Auto-correlation | 0.01 |
Virtually no predictability
AFW Co has virtually no predictability. Overlapping area represents the amount of predictability between AFW time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st of December 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 AFW Co price movement. The serial correlation of 0.01 indicates that just 1.0% of current AFW price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 169.2 K |
AFW Co lagged returns against current returns
Autocorrelation, which is AFW 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 AFW's stock expected returns. We can calculate the autocorrelation of AFW returns to help us make a trade decision. For example, suppose you find that AFW 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 |
AFW 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 AFW stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AFW stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AFW stock over time.
Current vs Lagged Prices |
| Timeline |
AFW Lagged Returns
When evaluating AFW's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AFW stock have on its future price. AFW 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, AFW autocorrelation shows the relationship between AFW stock current value and its past values and can show if there is a momentum factor associated with investing in AFW Co.
Regressed Prices |
| Timeline |
Pair Trading with AFW
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 AFW 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 AFW will appreciate offsetting losses from the drop in the long position's value.Moving together with AFW Stock
Moving against AFW Stock
The ability to find closely correlated positions to AFW could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AFW 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 AFW - 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 AFW Co to buy it.
The correlation of AFW 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 AFW moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AFW Co 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 AFW 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.Other Information on Investing in AFW Stock
AFW financial ratios help investors to determine whether AFW Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in AFW with respect to the benefits of owning AFW security.