Sentences with phrase «market ratio»

But when you are not in scary valuation lands, general market ratios do not seem to help much in terms of valuation.

With a book value of $ 11.4 M against a market capitalization of $ 6.5 M, HIHO has a book - to - market ratio of 1.75 and is therefore a high BM stock.

• Handsome magnesium alloy finish, striking rolled - up hinge, Surface Pen stylus, detachable 13.5 - inch touch screen and its taller, 3:2 aspect ratio — all of that is still there and keeps this one of the most wholly original laptops on the market

Leveraging his experience with macroeconomic cycles and company fundamentals, Mr. Tanashian covers a wide variety of topics including technical analysis, macro market ratios, and risk management with both macro and specific commentary.

They define value as high book - to - market ratio based on book value lagged at least four months.

Using monthly industry returns from Kenneth French's website, monthly returns for the value - weighted U.S. stock market in excess of the one - month U.S. Treasury bill yield, and industry component book - to - market ratios during July 1963 through December 2009 he finds that: Keep Reading

(In the totals below, I did include my bank shares in the Canadian Market ratio.)

Just for example, a company with a book value of $ 1 billion, with a market cap of $ 2 billion would have a Price to Book ratio of 2, or a Book to Market ratio of 0.5.

The Silky Touch extensions are perfect for anybody who loves adding a bit of volume and / or length to their hair occasionally or for special events and offer the best quality / price ratio on the market

Four of the factors are those commonly used to explain stock returns: market return, size, book - to - market ratio and momentum.

For individual stocks, they each month sort stocks into tenths (deciles) on book - to - market ratio and form a portfolio that is long (short) the value - weighted decile with the highest (lowest) ratios.

They also examine how AHFSR interacts with ten widely used stock return predictors: book - to - market ratio; gross profitability; operating profit; momentum; market capitalization; asset growth; investment growth; net stock issuance; accruals; and, net operating assets.

They employ three distinct methods to measure long - run abnormal returns: (1) calendar - time three - factor (market, size, book - to - market ratio) portfolio alpha; (2) three - factor alpha in event time; and, (3) returns in excess of those for control stocks matched on size, book - to - market ratio and six - month past return.

In the July 2010 version of their paper entitled «The Cross-Section of German Stock Returns: New Data and New Evidence», Sabine Artmann, Philipp Finter, Alexander Kempf, Stefan Koch and Erik Theissen apply a new set of single - sorted and double - sorted factor portfolios based on market beta, size, book - to - market ratio and momentum to test for beta effect, size effect, value premium and momentum in the German equity market.

They extend tests of DR - CAPM to six portfolios of U.S. stocks sorted by size and book - to - market ratio, five portfolios of commodities sorted by futures premium and six portfolios of government bonds sorted by probability of default, and to multi-asset class combinations.

Piotroski's methodology starts by narrowing stock choices to those trading in the top 20 percent of the market based on their book / market ratios (or, conversely, the bottom 20 percent of the market based on price / book ratios).

They focus on combining momentum stocks (highest return from 12 months ago to one month ago) and value stocks (high book - to - market ratio).

Construction methods include equal weighting, two versions of minimum volatility, three versions of mean - variance optimization, eight versions of reward - to - risk timing (six of which involve factor models) and a characteristic - based scheme that each year estimates stock weights based on market capitalization, book - to - market ratio, gross profitability, investment, short - term reversal and momentum.

Paper money always drives gold out of circulation since the market ratio of paper to gold severely under values gold.

The gold rush of 1849 produced a lot of gold and the market ratio of silver to gold became 15.46 to 1.

In the late 18th century there was a large production of silver from Mexico and the market ratio of silver to gold increased to 15.75 to 1 by 1805.

This was close to the market ratio of gold to silver at the time so both gold and silver coins appeared in circulation again.

A high book - to - market ratio?

The work of professors Eugene Fama and Kenneth French in the 1990s showed that a portfolio's returns can be largely explained by three risk factors: its overall allocation to stocks (called the market factor, or beta), its exposure to small - cap stocks (the size factor), and its exposure to stocks with high book - to - market ratios (the value factor).

What are the odds that a highly leveraged business will have a high book - to - market ratio (book value / market value)?

HML accounts for the spread in returns between value and growth stocks and argues that companies with high book - to - market ratios, also known as value stocks, outperform those with lower book - to - market values, known as growth stocks.

This factor is also referred to as the «value factor» or the «value versus growth factor» because companies with a high book to market ratio are typically considered «value stocks.»

Specifically, HML shows whether a manager is relying on the value premium by investing in stocks with high book - to - market ratios to earn an abnormal return.

Economists have suggested a whole range of variables that predict the equity premium: dividend price ratios, dividend yields, earnings - price ratios, dividend payout ratios, corporate or net issuing ratios, book - market ratios, beta premia, interest rates (in various guises), and consumption - based macroeconomic ratios (cay).

Investment Strategy Risk: Securities that have high book to market ratios and / or high profitability may perform differently from the market as a whole and an investment strategy emphasizing these securities may cause the Portfolio to at times underperform equity funds that use other investment strategies.

The main factors driving expected returns are sensitivity to the market; sensitivity to size, as in small - cap stocks; and sensitivity to value stocks, as measured by the book - to - market ratio.

Asset growth rate retains large explanatory power for future stock returns after accounting for firm size, book - to - market ratio and momentum.

Specifically, they quantify maximum drawdowns for 11 widely cited U.S. stock return anomalies identified via one - factor (market), three - factor (plus size and book - to - market ratio) and four - factor (plus momentum) linear models.

Each month, he forms three groups of eight equally weighted portfolios of industries ranked separately by: (1) beta based on rolling regressions of industry returns versus value - weighted market returns over the past 60 months; (2) value based on the latest available industry book - to - market ratios (value - weighted composites of component firm book - to - market ratios, updated annually); and, momentum based on lagged six - month industry returns.

To compare a company's net asset value or book value to its current or market value, the book - to - market ratio is used.

Other alternative indexes were fundamental - weighted, so they give more influence to firms with value characteristics like high book - to - market ratios or high dividend yields.

This effect was persistent / robust and not concentrated to small stocks, stocks with low analyst coverage, or stocks with low book - to - market ratios.

The methodology is complicated, but in the broadest terms, it starts with the whole universe of stocks in a particular market and then gives added weight to smaller companies and those with value characteristics (specifically high book - to - market ratios).

To simulate the small - value factor in the international markets, we construct the value portfolio from small - cap stocks above the 70th percentile in their respective region (Japan, United Kingdom, and Europe ex UK) by book - to - market ratio, and the growth portfolio from small - cap stocks below the 30th percentile in their respective region.

Here Fama and French are simply screening companies that have a low Price to Book ratio, or a High Book to Market ratio.

For example, to simulate the value smart - beta strategy in the United States, we construct the portfolio from large - cap stocks above the 70th NYSE percentile by book - to - market ratio.

To simulate the value smart - beta strategy in the international markets, we construct the portfolio from large - cap stocks above the 70th percentile in their respective region (Japan, United Kingdom, and Europe ex UK) by book - to - market ratio.

That same study above also finds a long term outperformance by «value» stocks, which is based on the company's low price to book ratio (P / B), or as Fama and French refer to it, a high book to market ratio (BtM).

For example, to simulate the large - cap value factor in the United States, we construct the value portfolio from large - cap stocks above the 70th NYSE percentile by book - to - market ratio (desired characteristic), and we construct the growth portfolio from large - cap stocks below the 30th NYSE percentile (undesired characteristic).

The second is the value premium: stocks with high book - to - market ratios have historically delivered higher returns than growth stocks.

Is the book - to - market ratio (B / M) the most efficient way to identify value stocks?