The analysis is based on monthly asset returns (total return) and
monthly factor returns.
Not exact matches
First, per the findings of «Asset Class Diversification Effectiveness
Factors», we measure the average
monthly return for DBV and the average pairwise correlation of DBV
monthly returns with the
monthly returns of the above assets.
Using
monthly returns for 3,292 actively managed mutual funds focused on U.S. stocks and contemporaneous market, size, book - to - market and momentum
factor returns during March 1993 to December 2014, they find that: Keep Reading
Using these fWHRs,
monthly net - of - fee
returns and assets under management of 3,868 associated live and dead hedge funds, and
monthly risk
factor values during January 1994 through December 2015, they find that:
Using daily and
monthly factor portfolio
returns from Kenneth French during 1926 or 1963 through 2015 and currency carry trade
returns during 1983 through 2015, they find that: Keep Reading
Using
monthly U.S. stock market
factor and sector
returns from Kenneth French's library spanning July 1963 through November 2014, they find that: Keep Reading
Using
monthly asset class
returns and
factor estimation inputs during 1996 through 2013, they find that: Keep Reading
First, per the findings of «Asset Class Diversification Effectiveness
Factors», we measure the average
monthly return for BWX and the average pairwise correlation of BWX
monthly returns with the
monthly returns of the above assets.
Using daily and
monthly factor portfolio
returns from Kenneth French during 1926 or 1963 through 2015 and currency carry trade
returns during 1983 through 2015, they find that: Keep Reading
Using
monthly returns for 3,292 actively managed mutual funds focused on U.S. stocks and contemporaneous market, size, book - to - market and momentum
factor returns during March 1993 to December 2014, they find that: Keep Reading
Using these fWHRs,
monthly net - of - fee
returns and assets under management of 3,868 associated live and dead hedge funds, and
monthly risk
factor values during January 1994 through December 2015, they find that:
They focus on net fund alphas, meaning after - fee
returns in excess of the risk - free rate, adjusted for exposures to three kinds of risk
factors well known at the start of the sample period: (1) traditional equity market, bond market and credit
factors; (2) dynamic stock size, stock value, stock momentum and currency carry
factors; and, (3) a volatility
factor specified as
monthly returns from buying one - month, at ‐ the ‐ money S&P 500 Index calls and puts and holding to expiration.
Using
monthly trading volumes,
returns and assets (sizes) for 4,587 U.S. equity mutual funds and for 747 U.S. equity ETFs, and contemporaneous U.S. equity
factor model
returns, during January 2000 through December 2015, they find that: Keep Reading
First, per the findings of «Asset Class Diversification Effectiveness
Factors», we measure the average
monthly return for VXX and the average pairwise correlation of VXX
monthly returns with the
monthly returns of the above assets.
First, per the findings of «Asset Class Diversification Effectiveness
Factors», we measure the average
monthly return for VXZ and the average pairwise correlation of VXZ
monthly returns with the
monthly returns of the above assets.
She defines idiosyncratic volatility as the standard deviation of daily residuals from
monthly regressions of
returns (in excess of the risk - free rate) for each stock versus Fama - French model
factors.
They calculate alphas for each anomaly by using the specified linear model risk
factors to adjust gross
monthly returns from a portfolio that is long (short) the value - weighted or equal - weighted tenth of stocks that are «good» («bad») according to that anomaly, reforming the portfolio annually or
monthly depending on anomaly input frequency.
Using
monthly returns and firm fundamentals for a broad sample of U.S. stocks, and contemporaneous stock
return model
factor returns, during July 1963 through December 2012, they find that: Keep Reading
The researchers find find that the equal - weighted portfolio with
monthly rebalancing outperforms the value - and price - weighted portfolios in terms of total mean
return, four
factor alpha, Sharpe ratio, and certainty - equivalent
return, even though the equal - weighted portfolio has greater portfolio risk.
Our aim is a combination of two very important
factors, conservative trading style and consistent
monthly returns and that's what we try to achieve for all our subscribers.
Because carry and value require longer holding periods to harvest the
factors»
returns, the authors take the extra step of setting those strategy portfolios»
monthly weights to the trailing average of the prior -12-months model weights.
In order to convince those non-believers, I'll need to pull out all the stops and run a 3 -
factor regression analysis * on the
monthly returns for some of the most popular Canadian dividend and value ETFs.
Using
monthly returns for 2,132 dead and 992 live hedge funds encompassing nine investment styles, and contemporaneous
factor returns, during January 1994 through April 2014, they find that: Keep Reading
Using
monthly net
returns and assets under management (AUM) for specific (not fund - of - funds) and distinct CTA funds with at least 12 months of
returns denominated in U.S. dollars and
monthly data required to estimate futures risk
factor premiums as available during January 1987 through July 2015, they find that: Keep Reading
Using original investor portfolio and corresponding robo advisor portfolio holdings collected during mid-January 2016 through early November 2016, fund loads and fees as of September 2016, and
monthly returns for all assets and
factors as available since January 1975, they find that: Keep Reading
Using theory,
monthly returns for 10,145 U.S. domestic equity mutual funds, the risk - free (lending) rate and
returns for the five Fama - French
factors during July 2005 through June 2015, he finds that: Keep Reading
That's because their
returns are based on two
factors: current interest rates and the expected duration of the
monthly payments.
P3 members simply input the basic variables unique to each property (the price, the
monthly rental income, the management costs and the rates and taxes, or levies) into the easy - to - use programme and have instant access to four crucial indicators: the rental
factor; the cash flow position at the outset; the breakeven date and total investment amount; as well as the
return on investment (ROI) and internal rate of
return (IIR).