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Weather Derivative
Weather derivatives are financial instruments that can be used by organizations or individuals as part of a risk management strategy to reduce risk associated with adverse or unexpected weather conditions. Weather derivatives are index-based instruments that usually use observed weather data at a weather station to create an index on which a payout can be based. This index could be total rainfall over a relevant period—which may be of relevance for a hydro-generation business—or the number where the minimum temperature falls below zero which might be relevant for a farmer protecting against frost damage. As is the case with parametric weather insurance, there is no proof of loss provision. Unlike "indemnity" insurance-based cover, there is no need to demonstrate that a loss has been suffered, however an indemnity insurance policy for weather is a rarely utilized instrument. Settlement is objective, based on the final value of the chosen weather index over the chosen period. I ...
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Financial Instrument
Financial instruments are monetary contracts between parties. They can be created, traded, modified and settled. They can be cash (currency), evidence of an ownership interest in an entity or a contractual right to receive or deliver in the form of currency (forex); debt ( bonds, loans); equity ( shares); or derivatives (options, futures, forwards). International Accounting Standards IAS 32 and 39 define a financial instrument as "any contract that gives rise to a financial asset of one entity and a financial liability or equity instrument of another entity". Financial instruments may be categorized by "asset class" depending on whether they are equity-based (reflecting ownership of the issuing entity) or debt-based (reflecting a loan the investor has made to the issuing entity). If the instrument is debt it can be further categorized into short-term (less than one year) or long-term. Foreign exchange instruments and transactions are neither debt- nor equity-based and bel ...
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CME Hurricane Index
The Chicago Mercantile Exchange Hurricane Index (CMEHI) is an index which describes the potential for damage from an Atlantic hurricane in the United States. The CMEHI is used as the basis for trading hurricane futures and options on the Chicago Mercantile Exchange (CME). It is very similar to the Hurricane Severity Index, which also factors both size and intensity of a hurricane. Index calculation The CMEHI takes as input two variables: the maximum sustained wind speed of a hurricane in miles per hour and the radius to hurricane-force winds of a hurricane in miles (i.e. how far from the center of the hurricane winds of 74 mph or greater are experienced). If the maximum sustained wind speed is denoted by ''V'' and the radius to hurricane-force winds is denoted by ''R'' then the CMEHI is calculated as follows: : \text = \left ( \frac \right )^3 + \frac\left ( \frac \right ) \left ( \frac \right )^2 where the subscript ''0'' denotes reference values. For use on the CME, the r ...
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El Niño-Southern Oscillation
EL, El or el may refer to: Religion * El (deity), a Semitic word for "God" People * EL (rapper) (born 1983), stage name of Elorm Adablah, a Ghanaian rapper and sound engineer * El DeBarge, music artist * El Franco Lee (1949–2016), American politician * Ephrat Livni (born 1972), American street artist Arts, entertainment, and media Fictional entities * El, a character from the manga series ''Shugo Chara!'' by Peach-Pit * El, short for Eleven, a fictional character in the TV series '' Stranger Things'' * El, family name of Kal-El (Superman) and his father Jor-El in '' Superman'' *E.L. Faldt, character in the road comedy film '' Road Trip'' Literature * ''Él'', 1926 autobiographical novel by Mercedes Pinto * ''Él'' (visual novel), a 2000 Japanese adult visual novel Music * Él Records, an independent record label from the UK founded by Mike Alway * ''Él'' (Lucero album), a 1982 album by Lucero * "Él", Spanish song by Rubén Blades from ''Caminando'' (album) * "Él" ...
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Fourier Transform
A Fourier transform (FT) is a mathematical transform that decomposes functions into frequency components, which are represented by the output of the transform as a function of frequency. Most commonly functions of time or space are transformed, which will output a function depending on temporal frequency or spatial frequency respectively. That process is also called ''analysis''. An example application would be decomposing the waveform of a musical chord into terms of the intensity of its constituent pitches. The term ''Fourier transform'' refers to both the frequency domain representation and the mathematical operation that associates the frequency domain representation to a function of space or time. The Fourier transform of a function is a complex-valued function representing the complex sinusoids that comprise the original function. For each frequency, the magnitude ( absolute value) of the complex value represents the amplitude of a constituent complex sinusoid ...
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Autoregressive Moving Average Model
In statistics, econometrics and signal processing, an autoregressive (AR) model is a representation of a type of random process; as such, it is used to describe certain time-varying processes in nature, economics, etc. The autoregressive model specifies that the output variable depends linearly on its own previous values and on a stochastic term (an imperfectly predictable term); thus the model is in the form of a stochastic difference equation (or recurrence relation which should not be confused with differential equation). Together with the moving-average (MA) model, it is a special case and key component of the more general autoregressive–moving-average (ARMA) and autoregressive integrated moving average (ARIMA) models of time series, which have a more complicated stochastic structure; it is also a special case of the vector autoregressive model (VAR), which consists of a system of more than one interlocking stochastic difference equation in more than one evolving random var ...
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Time Series
In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average. A time series is very frequently plotted via a run chart (which is a temporal line chart). Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, communications engineering, and largely in any domain of applied science and engineering which involves temporal measurements. Time series ''analysis'' comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series ''fore ...
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Normal Distribution
In statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is : f(x) = \frac e^ The parameter \mu is the mean or expectation of the distribution (and also its median and mode), while the parameter \sigma is its standard deviation. The variance of the distribution is \sigma^2. A random variable with a Gaussian distribution is said to be normally distributed, and is called a normal deviate. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. Their importance is partly due to the central limit theorem. It states that, under some conditions, the average of many samples (observations) of a random variable with finite mean and variance is itself a random variable—whose distribution converges to a normal d ...
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Non-parametric Statistics
Nonparametric statistics is the branch of statistics that is not based solely on parametrized families of probability distributions (common examples of parameters are the mean and variance). Nonparametric statistics is based on either being distribution-free or having a specified distribution but with the distribution's parameters unspecified. Nonparametric statistics includes both descriptive statistics and statistical inference. Nonparametric tests are often used when the assumptions of parametric tests are violated. Definitions The term "nonparametric statistics" has been imprecisely defined in the following two ways, among others: Applications and purpose Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels o ...
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Parametric Statistics
Parametric statistics is a branch of statistics which assumes that sample data comes from a population that can be adequately modeled by a probability distribution that has a fixed set of parameters. Conversely a non-parametric model does not assume an explicit (finite-parametric) mathematical form for the distribution when modeling the data. However, it may make some assumptions about that distribution, such as continuity or symmetry. Most well-known statistical methods are parametric. Regarding nonparametric (and semiparametric) models, Sir David Cox has said, "These typically involve fewer assumptions of structure and distributional form but usually contain strong assumptions about independencies". Example The normal family of distributions all have the same general shape and are ''parameterized'' by mean and standard deviation. That means that if the mean and standard deviation are known and if the distribution is normal, the probability of any future observation lying in ...
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Fund Of Funds
A "fund of funds" (FOF) is an investment strategy of holding a portfolio of other investment funds rather than investing directly in stocks, bonds or other securities. This type of investing is often referred to as multi-manager investment. A fund of funds may be "fettered", meaning that it invests only in funds managed by the same investment company, or "unfettered", meaning that it can invest in external funds run by other managers. There are different types of FOF, each investing in a different type of collective investment scheme (typically one type per FOF), for example a mutual fund FOF, a hedge fund FOF, a private-equity FOF, or an investment trust FOF. The original Fund of Funds was created by Bernie Cornfeld in 1962. It went bankrupt after being looted by Robert Vesco. Features Investing in a collective investment scheme may increase diversity compared with a small investor holding a smaller range of securities directly. Investing in a fund of funds may achieve gre ...
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Nephila Capital
''Nephila'' is a genus of araneomorph spiders noted for the impressive webs they weave. ''Nephila'' consists of numerous species found in warmer regions around the world. They are commonly called golden silk orb-weavers, golden orb-weavers, giant wood spiders, or banana spiders. Etymology The genus name ''Nephila'' is derived from Ancient Greek, meaning "fond of spinning", from the words νεῖν (''nein'') = to spin (related to ''nema'' νήμα "thread") + φίλος (''philos'') = "love". Description ''Nephila'' spiders vary from reddish to greenish yellow in color with distinctive whiteness on the cephalothorax and the beginning of the abdomen. Like many species of the superfamily Araneoidea, most of them have striped legs specialized for weaving (where their tips point inward, rather than outward as is the case with many wandering spiders). Their contrast of dark brown/black and green/yellow allows warning and repelling of potential predators to which their venom might be ...
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