Compare Perella to Evercore, Lazard, Moelis, PJT, Stifel
Comparing Perella to Evercore, Lazard, Moelis, PJT, Stifel can provide valuable insights into potential diversification opportunities when combining these positions into a portfolio. By using this module, you can analyze the advantages of specified entities, assessing both technical and fundamental indicators across various peers. Please use the input box below to enter the symbols for specific investments you'd like to analyze. Check out your portfolio center.
Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated.
0.96 | 0.92 | 0.89 | 0.93 | 0.92 | PWP | ||
0.96 | 0.97 | 0.92 | 0.96 | 0.95 | EVR | ||
0.92 | 0.97 | 0.92 | 0.92 | 0.92 | LAZ | ||
0.89 | 0.92 | 0.92 | 0.88 | 0.83 | MC | ||
0.93 | 0.96 | 0.92 | 0.88 | 0.96 | PJT | ||
0.92 | 0.95 | 0.92 | 0.83 | 0.96 | SF | ||
Click cells to compare fundamentals | Check Volatility | Backtest Portfolio |
Risk-Adjusted Indicators
There is a big difference between a company's stock performing well and the company itself doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
---|---|---|---|---|---|---|---|---|---|---|
PWP | 2.03 | 0.17 | 0.18 | 0.15 | 1.75 | 3.77 | 22.05 | |||
EVR | 1.62 | 0.13 | 0.17 | 0.14 | 1.57 | 3.06 | 19.27 | |||
LAZ | 1.62 | 0.05 | 0.11 | 0.12 | 1.35 | 3.95 | 18.37 | |||
MC | 1.72 | (0.02) | 0.11 | 0.09 | 1.45 | 3.44 | 22.37 | |||
PJT | 1.48 | 0.17 | 0.25 | 0.16 | 0.93 | 3.55 | 18.44 | |||
SF | 1.25 | 0.25 | 0.34 | 0.22 | 0.63 | 3.09 | 16.31 |
Cross Equities Net Income Analysis
Select Fundamental
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PWP | (164 M) | (164 M) | (164 M) | (164 M) | (164 M) | (164 M) | (164 M) | (164 M) | (164 M) | (164 M) | (24.3 M) | 4 M | (31.7 M) | (17.2 M) | (18.1 M) |
EVR | 34.3 M | 7 M | 28.9 M | 53.3 M | 86.9 M | 42.9 M | 107.5 M | 125.5 M | 377.2 M | 297.4 M | 350.6 M | 740.1 M | 476.5 M | 255.5 M | 164.2 M |
LAZ | 305.8 M | 174.9 M | 84.3 M | 160.2 M | 427.3 M | 986.4 M | 387.7 M | 253.6 M | 527.1 M | 286.5 M | 402.5 M | 528.1 M | 357.5 M | (75.5 M) | (71.7 M) |
MC | (8.5 M) | (8.5 M) | 35.2 M | 7.2 M | (3 M) | 33.7 M | 38.4 M | 29.4 M | 140.7 M | 105.1 M | 178.8 M | 365.2 M | 150.3 M | (24.7 M) | (23.5 M) |
PJT | (42.5 M) | (42.5 M) | (42.5 M) | (17.2 M) | (11.5 M) | 5.6 M | (3 M) | (32.6 M) | 27.2 M | 63.8 M | 212.4 M | 190 M | 164.8 M | 81.8 M | 58.5 M |
SF | 3.3 M | 84.1 M | 138.6 M | 162 M | 176.1 M | 92.3 M | 81.5 M | 182.9 M | 394 M | 448.4 M | 503.5 M | 824.9 M | 662.2 M | 522.5 M | 548.7 M |
Perella Weinberg Partners, Evercore Partners, and Lazard Net Income description
Net income is one of the most important fundamental items in finance. It plays a large role in entities financial statement analysis. It represents the amount of money remaining after all of organizations operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.Competitive Analysis
Better Than Average | Worse Than Peers | View Performance Chart |
Market Neutrality
One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.
Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.
Five steps to successful analysis of competition
Competitive analysis is the process of researching and evaluating the competitive landscape of a business entity. It provides an understanding of the company's strengths, weaknesses, opportunities, and threats (SWOT) in relation to its competition. The competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors across the sector or industry, both direct and indirect, as well as new entrants and disruptive technologies.
- Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
- Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact the competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats and developing a strategy to address them.
- Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.Gambling Invested over 90 shares | ||
Macroaxis Index Invested few shares | ||
FinTech Invested over 60 shares | ||
Impulse Invested over 100 shares | ||
Banking Invested over 20 shares | ||
Adviser Favorites Invested few shares | ||
Momentum Invested few shares | ||
Manufacturing Invested over 30 shares | ||
Business Services Invested few shares | ||
Macroaxis Picks Invested over 30 shares | ||
Hedge Favorites Invested over 60 shares | ||
Check out your portfolio center.Note that this page's information should be used as a complementary analysis 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 Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Other Complementary Tools
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |