Fannie Mae (UK) Alpha and Beta Analysis

0IL0 Stock   2.66  0.14  5.00%   
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Fannie Mae. It also helps investors analyze the systematic and unsystematic risks associated with investing in Fannie Mae over a specified time horizon. Remember, high Fannie Mae's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Fannie Mae's market risk premium analysis include:
Beta
2.51
Alpha
0.99
Risk
9.2
Sharpe Ratio
0.23
Expected Return
2.09
Please note that although Fannie Mae alpha is a measure of relative return and represented here as a single number, it indicates the percentage above or below your selected benchmark (i.e., Dow Jones Industrial index.) So in this particular case, Fannie Mae did 0.99  better than the index. Remember, a high alpha is always good. Beta, on the other hand, measures the volatility (or risk) of an investment. It is an indication of Fannie Mae stock's relative risk over its benchmark. Fannie Mae has a beta of 2.51  . As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Fannie Mae will likely underperform. .
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
  
Check out Fannie Mae Backtesting, Fannie Mae Valuation, Fannie Mae Correlation, Fannie Mae Hype Analysis, Fannie Mae Volatility, Fannie Mae History and analyze Fannie Mae Performance.

Fannie Mae Market Premiums

Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Fannie Mae market risk premium is the additional return an investor will receive from holding Fannie Mae long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Fannie Mae. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Fannie Mae's performance over market.
α0.99   β2.51

Fannie Mae expected buy-and-hold returns

Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Fannie Mae's Buy-and-hold return. Our buy-and-hold chart shows how Fannie Mae performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.

Fannie Mae Market Price Analysis

Market price analysis indicators help investors to evaluate how Fannie Mae stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fannie Mae shares will generate the highest return on investment. By understating and applying Fannie Mae stock market price indicators, traders can identify Fannie Mae position entry and exit signals to maximize returns.

Fannie Mae Return and Market Media

The median price of Fannie Mae for the period between Thu, Sep 5, 2024 and Wed, Dec 4, 2024 is 1.42 with a coefficient of variation of 44.38. The daily time series for the period is distributed with a sample standard deviation of 0.79, arithmetic mean of 1.78, and mean deviation of 0.66. The Stock received some media coverage during the period.
 Price Growth (%)  
       Timeline  
1
Fannie Mae Named Best Place to Work for Disability Inclusion by DisabilityIN - StockTitan
07/18/2024
2
Fannie Mae, Freddie Mac Stock Jumps on Renewed Hope of Freedom - The Wall Street Journal
09/13/2024
3
Fannie Mae Slashes 2025 Home Sales Forecast as Mortgage Rates Stay Above 6 percent FNMA Stock News - StockTitan
11/21/2024

About Fannie Mae Beta and Alpha

For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Fannie or other stocks. Alpha measures the amount that position in Fannie Mae has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
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 Fannie Mae 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, Fannie Mae's short interest history, or implied volatility extrapolated from Fannie Mae options trading.

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Additional Tools for Fannie Stock Analysis

When running Fannie Mae's price analysis, check to measure Fannie Mae'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 Fannie Mae is operating at the current time. Most of Fannie Mae's value examination focuses on studying past and present price action to predict the probability of Fannie Mae's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fannie Mae's price. Additionally, you may evaluate how the addition of Fannie Mae to your portfolios can decrease your overall portfolio volatility.