King Charles visits Yorkshire farmers to see impact of his charity - FarmingUK
PCF Fund | USD 6.81 0.03 0.44% |
Roughly 53% of Putnam High's investor base is interested to short. The analysis of overall sentiment of trading Putnam High Income fund suggests that many investors are impartial at this time. The current market sentiment, together with Putnam High's historical and current headlines, can help investors time the market. In addition, many technical investors use Putnam High Income fund news signals to limit their universe of possible portfolio assets.
Putnam High fund news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Putnam daily returns and investor perception about the current price of Putnam High Income as well as its diversification or hedging effects on your existing portfolios.
Putnam |
King Charles visits Yorkshire farmers to see impact of his charity FarmingUK
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Putnam High Fundamental Analysis
We analyze Putnam High's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Putnam High using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Putnam High based on its fundamental data. In general, a quantitative approach, as applied to this fund, 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.
Probability Of Bankruptcy
Probability Of Bankruptcy Comparative Analysis
Putnam High is currently under evaluation in probability of bankruptcy among similar funds. Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
Putnam High Income Potential Pair-trading
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where 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. Below are some of the equities that can be combined with Putnam High fund to make a market-neutral strategy. Peer analysis of Putnam High could also be used in its relative valuation, which is a method of valuing Putnam High by comparing valuation metrics with similar companies.
Peers
Putnam High Related Equities
RIV | Rivernorth Opportunities | 1.77 | ||||
NCV | Allianzgi Convertible | 1.64 | ||||
NCZ | Allianzgi Convertible | 1.22 | ||||
CRF | Cornerstone Strategic | 0.98 | ||||
NMCO | Nuveen Municipal | 0.98 | ||||
OXLC | Oxford Lane | 0.77 | ||||
NFJ | Virtus Dividend | 0.61 | ||||
HRZN | Horizon Technology | 0.54 | ||||
CXH | MFS Investment | 0.37 | ||||
OPP | RiverNorthDoubleLine | 0.35 | ||||
EVF | Eaton Vance | 0.32 | ||||
ACP | Aberdeen Income | 0.31 | ||||
GLO | Clough Global | 0.19 | ||||
GLV | Clough Global | 0.17 | ||||
GLQ | Clough Global | 0.15 |
Other Information on Investing in Putnam Fund
Putnam High financial ratios help investors to determine whether Putnam Fund 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 Putnam with respect to the benefits of owning Putnam High security.
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |