Pacer Bluestar Digital Etf Alpha and Beta Analysis
| ODDS Etf | USD 29.22 0.22 0.76% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Pacer BlueStar Digital. It also helps investors analyze the systematic and unsystematic risks associated with investing in Pacer BlueStar over a specified time horizon. Remember, high Pacer BlueStar'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 Pacer BlueStar's market risk premium analysis include:
Beta 1.02 | Alpha (0.35) | Risk 1.18 | Sharpe Ratio (0.22) | Expected Return (0.26) |
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 Pacer BlueStar Backtesting, Portfolio Optimization, Pacer BlueStar Correlation, Pacer BlueStar Hype Analysis, Pacer BlueStar Volatility, Pacer BlueStar History and analyze Pacer BlueStar Performance. Pacer BlueStar Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Pacer BlueStar market risk premium is the additional return an investor will receive from holding Pacer BlueStar 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 Pacer BlueStar. 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 Pacer BlueStar's performance over market.| α | -0.35 | β | 1.02 |
Pacer BlueStar 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 Pacer BlueStar's Buy-and-hold return. Our buy-and-hold chart shows how Pacer BlueStar performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Pacer BlueStar Market Price Analysis
Market price analysis indicators help investors to evaluate how Pacer BlueStar etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Pacer BlueStar shares will generate the highest return on investment. By understating and applying Pacer BlueStar etf market price indicators, traders can identify Pacer BlueStar position entry and exit signals to maximize returns.
Pacer BlueStar Return and Market Media
The median price of Pacer BlueStar for the period between Fri, Sep 26, 2025 and Thu, Dec 25, 2025 is 30.34 with a coefficient of variation of 6.29. The daily time series for the period is distributed with a sample standard deviation of 1.95, arithmetic mean of 30.97, and mean deviation of 1.71. The Etf received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | Key facts Interest in a Litecoin ETF is high, with Polymarket odds of approval for this year at 98. The SEC is expected to make decisions on 16 crypto ETFs, inc... | 10/07/2025 |
2 | XRP ETF Approval Odds Hit 99 percent on Polymarket Following SEC Guidance News - Coin Edition | 10/28/2025 |
3 | Traders put 5050 odds on Bitcoin ending 2025 below 90k amid 3B ETF outflows - CryptoRank | 11/19/2025 |
4 | College Football Rivalry Week 2025 By The Numbers | 11/26/2025 |
5 | Crypto market rebounds above 3 trillion as Vanguard effect jolts ETF flows and Fed cut odds jump - theblock.co | 12/02/2025 |
6 | Bitcoin ETF Flows on December 24 Betting Odds Predictions - Polymarket | 12/22/2025 |
About Pacer BlueStar 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 Pacer or other etfs. Alpha measures the amount that position in Pacer BlueStar Digital 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 Pacer BlueStar 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, Pacer BlueStar's short interest history, or implied volatility extrapolated from Pacer BlueStar options trading.
Build Portfolio with Pacer BlueStar
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Check out Pacer BlueStar Backtesting, Portfolio Optimization, Pacer BlueStar Correlation, Pacer BlueStar Hype Analysis, Pacer BlueStar Volatility, Pacer BlueStar History and analyze Pacer BlueStar Performance. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Pacer BlueStar technical etf 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, etf market cycles, or different charting patterns.