Hamilton Midsmall Cap Financials Etf Holdings Turnover
| HUM Etf | CAD 38.88 0.08 0.21% |
Hamilton MidSmall Cap Financials fundamentals help investors to digest information that contributes to Hamilton MidSmall's financial success or failures. It also enables traders to predict the movement of Hamilton Etf. The fundamental analysis module provides a way to measure Hamilton MidSmall's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Hamilton MidSmall etf.
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Hamilton MidSmall Cap Financials ETF Holdings Turnover Analysis
Hamilton MidSmall's Holding Turnover is calculated by adding up all the transactions for the year, dividing it by 2 and then dividing it again by the total fund holdings. Holding Turnover is the rate at which funds or ETFs replace their investment holdings on an annual basis. In other words it measures how quickly a fund turns over its holdings during the fiscal year.
Investor can think of Holding Turnover as a percentage of a fund's assets that have turned over in the past year. Typically, a high annual turnover ratio implies that fund managers made a lot of buying and selling. The higher the annual turnover, the higher the expense ratio for the fund.
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According to the company disclosure, Hamilton MidSmall Cap Financials has a Holdings Turnover of 0.0%. This indicator is about the same for the Hamilton Capital Partners Inc. average (which is currently at 0.0) family and about the same as Financial Services Equity (which currently averages 0.0) category. This indicator is about the same for all Canada etfs average (which is currently at 0.0).
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Fund Asset Allocation for Hamilton MidSmall
The fund invests 99.53% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.Asset allocation divides Hamilton MidSmall's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
Hamilton Fundamentals
| Beta | 1.34 | |||
| Total Asset | 44.26 M | |||
| One Year Return | 56.30 % | |||
| Three Year Return | 13.90 % | |||
| Net Asset | 44.26 M | |||
| Equity Positions Weight | 99.53 % |
About Hamilton MidSmall Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Hamilton MidSmall Cap Financials's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Hamilton MidSmall using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Hamilton MidSmall Cap Financials based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Hamilton MidSmall
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 Hamilton MidSmall 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 Hamilton MidSmall will appreciate offsetting losses from the drop in the long position's value.Moving together with Hamilton Etf
| 0.87 | ZEB | BMO SPTSX Equal | PairCorr |
| 0.91 | XFN | iShares SPTSX Capped | PairCorr |
| 0.96 | ZBK | BMO Equal Weight | PairCorr |
| 0.82 | HCA | Hamilton Canadian Bank | PairCorr |
| 0.96 | ZUB | BMO Equal Weight | PairCorr |
Moving against Hamilton Etf
| 0.89 | HXD | BetaPro SPTSX 60 | PairCorr |
| 0.85 | HIU | BetaPro SP 500 | PairCorr |
| 0.8 | HQD | BetaPro NASDAQ 100 | PairCorr |
| 0.35 | HUN | Global X Natural | PairCorr |
The ability to find closely correlated positions to Hamilton MidSmall could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hamilton MidSmall 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 Hamilton MidSmall - 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 Hamilton MidSmall Cap Financials to buy it.
The correlation of Hamilton MidSmall 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 Hamilton MidSmall moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hamilton MidSmall Cap 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 Hamilton MidSmall 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 Hamilton Etf
Hamilton MidSmall financial ratios help investors to determine whether Hamilton Etf 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 Hamilton with respect to the benefits of owning Hamilton MidSmall security.