Sentences with phrase «asset price data»

The blockchain asset markets never sleep — our asset price data is updated real - time & 24 hours a day, 7 days a week, and all quoted in USD.

They are actually programs that use sophisticated mathematical algorithms to predict future outcomes based on the input of vast amounts of previous asset price data.

Using daily price data for the top 10 coins / tokens and for traditional asset class proxies, and tick - by - tick crypto - asset price data to assess stability, during late April 2013 through early November 2017, they find that:

Not exact matches

By next year, there are questions to answer about what data should guide policy and the extent to which preventing asset - price bubbles should influence the benchmark interest rate.

Bitcoin Price Bulls Are Back Data from major exchanges and Coinmarketcap shows that as of press time April 24, the implied value of all tracked assets has reached $ 421 million.

The data will indicate not only the price points at which an asset has peaked and bottomed out at, but also the typical price points and unique behaviors which could possibly repeat in the future.

Of course, these will be critical factors when determining whether or not prices for a specific asset are likely to rise or fall in the future, so each of of these pieces data will be highly important for any spread betting trader looking to structure a trading idea and decide in the likely direction for the asset being watched.

However, greater stability in oil prices over the second half of the month — alongside the positive tone of economic data — helped spark a wider rebound in riskier assets, with equities collectively recovering a significant portion of the losses they had sustained since the start of 2016.

Commodity prices have been heading lower for more than four years, and according to data accessible via Bloomberg, commodities have been the worst performing asset class of 2015, with the most severe losses in cyclical commodities, such as oil and industrial metals.

Technical analysis is the forecasting of the future price of a financial asset using primarily historical price and volume data.

This data across many asset classes helps support low latency traders and other applications dealing with portfolio pricing, risk and compliance.

The firm provides pricing data to more than 5,000 customers including many of the firms that use ICE's markets and services, such as asset managers, hedge funds, banks and insurance companies.

In October 2014, ICE purchased SuperDerivatives, a market data and analytics provider specializing in derivatives pricing models across all asset classes, risk analysis and cloud - based market technology, as well as a chat platform that is similar to competitors such as Bloomberg.

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Using monthly S&P 500 Index levels, quarterly S&P 500 earnings and daily T - note, T - bill and Baa yields during March 1989 through March 2015 (limited by availability of earnings data), and quarterly dividend - adjusted closing prices for the above three asset class ETFs during September 2002 through March 2015 (154 months, limited by availability of IEF and LQD), we find that: Keep Reading

Using monthly risk premium calculation data during March 1934 through June 2017 (limited by availability of T - bill data), and monthly dividend - adjusted closing prices for the three asset class mutual funds during June 1980 through June 2017 (37 years, limited by VFIIX), we find that:

Using worldwide auction data spanning 1999 (the first year of representative coverage in the source database) through 2010 (3,952 total sales), along with the contemporaneous values of the U.S. Consumer Price Index and returns for other worldwide asset markets, they find that: Keep Reading

CFX then automatically pulls updated data from the partner portal, and sellers indicate the price that they'd like to sell an asset for (an offer, or «ask»).

Examples of these risks, uncertainties and other factors include, but are not limited to the impact of: adverse general economic and related factors, such as fluctuating or increasing levels of unemployment, underemployment and the volatility of fuel prices, declines in the securities and real estate markets, and perceptions of these conditions that decrease the level of disposable income of consumers or consumer confidence; adverse events impacting the security of travel, such as terrorist acts, armed conflict and threats thereof, acts of piracy, and other international events; the risks and increased costs associated with operating internationally; our expansion into and investments in new markets; breaches in data security or other disturbances to our information technology and other networks; the spread of epidemics and viral outbreaks; adverse incidents involving cruise ships; changes in fuel prices and / or other cruise operating costs; any impairment of our tradenames or goodwill; our hedging strategies; our inability to obtain adequate insurance coverage; our substantial indebtedness, including the ability to raise additional capital to fund our operations, and to generate the necessary amount of cash to service our existing debt; restrictions in the agreements governing our indebtedness that limit our flexibility in operating our business; the significant portion of our assets pledged as collateral under our existing debt agreements and the ability of our creditors to accelerate the repayment of our indebtedness; volatility and disruptions in the global credit and financial markets, which may adversely affect our ability to borrow and could increase our counterparty credit risks, including those under our credit facilities, derivatives, contingent obligations, insurance contracts and new ship progress payment guarantees; fluctuations in foreign currency exchange rates; overcapacity in key markets or globally; our inability to recruit or retain qualified personnel or the loss of key personnel; future changes relating to how external distribution channels sell and market our cruises; our reliance on third parties to provide hotel management services to certain ships and certain other services; delays in our shipbuilding program and ship repairs, maintenance and refurbishments; future increases in the price of, or major changes or reduction in, commercial airline services; seasonal variations in passenger fare rates and occupancy levels at different times of the year; our ability to keep pace with developments in technology; amendments to our collective bargaining agreements for crew members and other employee relation issues; the continued availability of attractive port destinations; pending or threatened litigation, investigations and enforcement actions; changes involving the tax and environmental regulatory regimes in which we operate; and other factors set forth under «Risk Factors» in our most recently filed Annual Report on Form 10 - K and subsequent filings by the Company with the Securities and Exchange Commission.

To conduct the study, the researchers used stock - market data concerning 177 firms listed on the Egyptian stock exchange in early 2011, and examined daily closing prices for those firms between 2005 and 2013, as well as total firm assets and leverage (the amount of debt as a fraction of total assets).

For instance, in capital markets there is always a need of price predictions for instruments or equities or assets and an algorithm is applied to the huge amount of unstructured data coming from various feed providers.

He is currently the Sterling Professor of Economics at Yale University and is a Nobel Laureate as well, having been awarded the Nobel Memorial Prize in Economic Sciences for his work on data - based analysis of asset prices and valuations.

For example, if US CPI inflation data come in a tenth of a percentage higher than what was being priced into the market before the news release, we can back out how sensitive the market is to that information by watching how asset prices react immediately following.

Getting the data, scrubbing it, running the cash flows, calculating the asset price functions, implied margin on borrowing, etc., would be pretty tough for angels to do, much less mere men.

It will then take new data to move the price of the asset, and the dance of information and prices goes on and on.

Vital market information across asset classes, including pricing, analytics, indices and exchange data delivered around the world through secure, flexible connections.

We do not try to predict or judge the prices of individual stocks; instead, we focus on a data - driven, risk - based division of capital across broad asset classes.

This section includes guides to economic analysis and forecasts and related financial and economic data; cost of living, consumer price index, and inflation data; bond yields and interest rates; cost of equity capital and related information such as equity risk premiums and size premiums; and royalty rates and license fees for intangible assets and intellectual property such as patents and trademarks.

«Data - Snooping Biases in Tests of Financial Asset Pricing Models.»

Technical analysis is the forecasting of the future price of a financial asset using primarily historical price and volume data.

Data package pricing for FlightDesk's standard and premium versions depend on the amount of assets and / or trading activity level.

Data bank includes current and historical pricing; net asset value; performance; asset allocation; sector allocation; top holdings; load type; trailer fees; MER; distribution amount and frequency; investment minimums; PAC eligibility; and fund manager information.

Value investors * price * assets based on their value * now * (based on data from the present) rather than make predictions about markets in the * future.

Asset prices remained relatively flat over the past month, caught between the push of positive economic data on equities and the pull of geopolitical... More

We've hacked and slashed the data, dealt with survivor bias, point - in - time bias, erroneous data, and all the other standard techniques used in academic empirical asset pricing analysis — still no dice.

It's important for traders to have accurate price data so they can be sure they are seeing the true price of the underlying asset.

Data bank includes current and historical pricing; net asset value; performance; asset allocation; sector allocation; top holdings; load type; trailer fees; MER; distribution amount...

In his 2006 PhD thesis, [9] Duran examined 130,000 data points of daily prices for closed - end funds in terms of their deviation from the net asset value (NAV).

The German physicist, who founded Artemis Capital Asset Management, believes the data he has collected from 72 years of Dow Jones closing prices can be used to help portfolios steer clear of stock market crashes.

MPT seeks to identify a portfolio allocation designed to offer the highest potential reward with the lowest amount of risk possible for any given level of risk, using broad diversification and historical data about asset class price fluctuation for this purpose.

Observable inputs are inputs that reflect the assumptions market participants would use in pricing the asset or liability developed based on market data obtained from sources independent of the reporting entity.

Packaged, priced and optimized for short term Information Governance projects, Exterro File Analysis enables you to rapidly search through vast data stores to identify those assets that enable you make smarter decisions.

CoinDesk Bitcoin prices surpassed those of gold earlier this month, but the digital asset failed to maintain this position for long, data reveals.

Analysis / Bears / Bitcoin / BTC / BTC / USD / Bulls / Capitalizations / CMC / coincheck / Cryptocurrencies / data / Japan / Long / Market Updates / Markets / N - Markets and Prices / Prices / RSI / Short / SMA / Stochastic / Technical indicators / trading / Trading Digital Assets / USD / yen

That said, any downside protection is beneficial, and even if all the growth came from acqui - hires, this data point can explain away some of the rise in asset prices.

A very important way of assessing an asset's value is by analyzing its historical price data.

By building a low - latency infrastructure with a unified FIX API, a technology used on Wall Street for over 25 years, along with a standalone trading platform and liquidity aggregation the company will provide precise and virtually instant pricing data while minimizing «slippage» for the trading of digital assets.

Another way of assessing an asset's risk and potential reward is by looking at historical price data.

Bitcoin prices surpassed those of gold earlier this month, but the digital asset failed to maintain this position for long, data reveals.

Far and away the market's largest asset, bitcoin has seen its price climb more than 5 % since falling to $ 1,001 early in the 15th February session, CoinDesk USD Bitcoin Price Index (BPI) data sprice climb more than 5 % since falling to $ 1,001 early in the 15th February session, CoinDesk USD Bitcoin Price Index (BPI) data sPrice Index (BPI) data shows.