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Articles related to "return"


Holding cash is a sign of fear, and fear is the worst investment of all

  • If most Canadians expect long-term investment returns of five-per-cent-plus, and money market funds have not provided one per cent over the long term, the only reason to have long-term money in a money market fund or bank account is either fear or a true belief that you are able to add value through timing of getting in and out.
  • Balances dropped 35 per cent, or $23.5 billion moved from the safety of money market back into some form of longer-term investment.
  • I had mentioned earlier that the only reasons to move long-term investment money into an asset class that is guaranteed to underperform your long-term goals is either fear or a true belief that you are able to add value through timing of getting in and out.
  • The bottom line is that cash, money market, and GICs are not good for your long-term investment returns.

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What investors can learn from the Virgin bond saga

  • The minimum investment was lower than those attached to other comparable deals and the 8 per cent yield was vastly more desirable than the 1 per cent return available to investors in government bonds in the current environment, she says.
  • Crestone Wealth Management vice-chairman Clark Morgan, whose firm was among the co-managers of the Virgin debt raising and had a "limited number" of clients invested in the bonds, stands by the advice provided.
  • Wealth manager Hamish Foletta of Sarto Advisory, however, says it is precisely the listed nature of bonds issued by corporates like Virgin that can make them attractive in the first place.
  • Though these newer investment products have been a "positive development" in democratising access to bonds, Foletta wants to see more big listed companies issue debt to regular investors, while acknowledging that Virgin has perhaps not been the best ambassador for the model.

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Holding cash is a sign of fear, and fear is the worst investment of all

  • If most Canadians expect long-term investment returns of five-per-cent-plus, and money market funds have not provided one per cent over the long term, the only reason to have long-term money in a money market fund or bank account is either fear or a true belief that you are able to add value through timing of getting in and out.
  • Balances dropped 35 per cent, or $23.5 billion moved from the safety of money market back into some form of longer-term investment.
  • I had mentioned earlier that the only reasons to move long-term investment money into an asset class that is guaranteed to underperform your long-term goals is either fear or a true belief that you are able to add value through timing of getting in and out.
  • The bottom line is that cash, money market, and GICs are not good for your long-term investment returns.

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Using Conditional Functions from NumPy

  • Extremely useful for selecting, creating, and managing data, NumPy’s conditional functions are a must for everyone!
  • To filter the data, you need to pass the conditions in square brackets; Without them, the boolean array will return.
  • You can now merge the bitwise and comparison operators to return a more complex selection of data; As a result, you now have an extra set of tools to use.
  • Now that you know how to use conditional and logical operators, it’s time to start using the NumPy options.
  • It’s the easiest of all; You start with the condition, then pass the returns; Let’s take a look at an example.
  • The first creates a list with new values, which you can pass as parameters; The second will produce only the index of the values ​​that correspond to the condition.

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Using Conditional Functions from NumPy

  • Extremely useful for selecting, creating, and managing data, NumPy’s conditional functions are a must for everyone!
  • To filter the data, you need to pass the conditions in square brackets; Without them, the boolean array will return.
  • You can now merge the bitwise and comparison operators to return a more complex selection of data; As a result, you now have an extra set of tools to use.
  • Now that you know how to use conditional and logical operators, it’s time to start using the NumPy options.
  • It’s the easiest of all; You start with the condition, then pass the returns; Let’s take a look at an example.
  • The first creates a list with new values, which you can pass as parameters; The second will produce only the index of the values ​​that correspond to the condition.

save | comments | report | share on


Using Conditional Functions from NumPy

  • Extremely useful for selecting, creating, and managing data, NumPy’s conditional functions are a must for everyone!
  • To filter the data, you need to pass the conditions in square brackets; Without them, the boolean array will return.
  • You can now merge the bitwise and comparison operators to return a more complex selection of data; As a result, you now have an extra set of tools to use.
  • Now that you know how to use conditional and logical operators, it’s time to start using the NumPy options.
  • It’s the easiest of all; You start with the condition, then pass the returns; Let’s take a look at an example.
  • The first creates a list with new values, which you can pass as parameters; The second will produce only the index of the values ​​that correspond to the condition.

save | comments | report | share on


Using Conditional Functions from NumPy

  • Extremely useful for selecting, creating, and managing data, NumPy’s conditional functions are a must for everyone!
  • To filter the data, you need to pass the conditions in square brackets; Without them, the boolean array will return.
  • You can now merge the bitwise and comparison operators to return a more complex selection of data; As a result, you now have an extra set of tools to use.
  • Now that you know how to use conditional and logical operators, it’s time to start using the NumPy options.
  • It’s the easiest of all; You start with the condition, then pass the returns; Let’s take a look at an example.
  • The first creates a list with new values, which you can pass as parameters; The second will produce only the index of the values ​​that correspond to the condition.

save | comments | report | share on


Using Conditional Functions from NumPy

  • Extremely useful for selecting, creating, and managing data, NumPy’s conditional functions are a must for everyone!
  • To filter the data, you need to pass the conditions in square brackets; Without them, the boolean array will return.
  • You can now merge the bitwise and comparison operators to return a more complex selection of data; As a result, you now have an extra set of tools to use.
  • Now that you know how to use conditional and logical operators, it’s time to start using the NumPy options.
  • It’s the easiest of all; You start with the condition, then pass the returns; Let’s take a look at an example.
  • The first creates a list with new values, which you can pass as parameters; The second will produce only the index of the values ​​that correspond to the condition.

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Are hedge funds the true smart money?

  • The study examined ownership data or 13-F quarterly asset management disclosures of active mutual funds and hedge funds – which have consistently owned 35 per cent and 5 per cent of the United States share market over the past decade.
  • The study then examined relative ownership of indices and factors to determine the stocks that mutual funds and hedge funds either invested in or shunned.
  • Some sectors of the market such as the health care and consumer discretionary sectors are driven by more stock specific factors and hedge funds were able to outperform.
  • Real estate was an anomaly as hedge funds delivered outperformance even though stock returns tended to a function of broader factors.
  • The paper's lead author Paul Winter explained that since most mutual funds are subject to tracking error limits, their "views shrink" limiting their ability to deliver returns that are materiality better than systematic stock picking.

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A huge Wendy's and Pizza Hut franchisee just filed for bankruptcy

  • New York (CNN Business) - NPC International, the operator of 1,200 Pizza Hut and nearly 400 Wendy's restaurants in the United States, has filed for bankruptcy.
  • Pizza Hut, of which NPC is the company's largest franchisee, has also been struggling with sales recently.
  • NPC's restaurants will continue to operate while it navigates the Chapter 11 process.
  • The company employs nearly 40,000 people in 27 US states, according to its website.
  • In a statement to CNN Business, Pizza Hut said the filing "was expected" and remains supportive of NPC.
  • Pizza Hut has 7,100 restaurants in the United States.
  • NPC operates only a small portion of Wendy's roughly 6,500 US restaurants.
  • NPC is the latest US company to file for bankruptcy during the Covid-19 pandemic.

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