Statistical Arbitrage

Statistical arbitrage is used in two related but distinct ways.

In literature statistical arbitrage is opposed to deterministic arbitrage. In deterministic arbitrage a profit can be obtained from holding a long position in some securities and shot in others. In a statistical arbitrage there is a miss pricing of the assets based on the expected values of the assets. so, statistical arbitrage represents miss pricing of price relationships that are true in expectation in the long run when repeating a trading strategy.

 

Statistical arbitrage among the hedge fund industry refers to a particular category of hedge funds. (global macro, convertible arbitrage etc) Statistical arbitrage is often referred to at StatArb. StatArb refers to highly technical short-term mean-reversion strategies involving large numbers of securities. (In the range of hundreds to thousands depending on amount of risk capital)

Quantitative Analysts

A quantitative analyst is a person who works in the financial field using numerical or quantitative techniques. These people are often called quants. Quants are often concerned with investment management, risk management, and derivatives pricing, or really any application of mathematics in finance ie statistical arbitrage, algorithmic trading, and electronic market making.

 

Quants most often come from the fields of physics, engineering, and mathematics rather than economics related fields. The majority of quants hold phds in either physics or mathematics.

 

Types of quants:

Front office quant

Quantitative investment management

Library quant

Algorithmic trading quant

Risk management

Innovation

Model validation

Quantitative developer

 

Typical problems that a numerically oriented quantitative analyst would tackle would be to develop a model for pricing, hedging, and risk-management of a complex derivative product. Mathematically-oriented quants tend to focus on the one correct answer to the system. Their idea is there can only be one correct price for any given security once there is agreement on the input values and market variable dynamics.

 

A typical problem for a statistically oriented quantitative analyst would be to develop a model for deciding which stocks are relatively expensive and what stocks are cheap. This type of model may include the company’s book value to price ratio, trailing earnings to price ratio, along with other accounting factors. Fund managers would use this approach by purchasing the undervalued stocks and selling the over priced stocks. A statistically oriented quant relies on statistics and econometrics and rely less on sophisticated numerical techniques and programming. They’re able to accept that there is no “right answer” until enough time has passed that you can look back and view how the model worked.

 

Both of these quants need a strong knowledge of sophisticated mathematics and computer programming.

 

Areas to study (universitys):

 

Areas of work (jobs):

Trading development

Portfolio optimization

Derivatives pricing and hedging

Risk management

Credit analysis

Know the important steps to avail auto insurance quotes

Know the important steps to avail auto insurance quotes

It is a wise decision to buy auto insurance policy from before hand so that you can keep yourself protected in case any accident happens suddenly. There are some people who feel that buying an auto insurance policy is simply wastage of money since they are expensive in cost. Before you decide to purchase an auto insurance policy, you should compare prices by getting free auto insurance quotes from various companies so that you may be able to buy the policy that suits you the best.

4 Important steps to avail auto insurance quotes

Go through this article to know about the 4 important steps to avail auto insurance quotes.

  1. Know the minimum requirement of your state – To avail the best deal on your auto insurance policy, you need to be acquainted with the minimum requirement of your state. Every state offers some kind of insurance either through different companies that charge same rate for the minimum requirement or through a licensed provider. After fulfilling those needs, if any insurance company charges anything additional along with it, then it will be considered as an extra expense on your auto insurance policy.

 

  1. Compare between various companies – This is another step to buy the most suitable car insurance policy. You may search online and call up various insurance agents to compare between various companies and buy the most suitable one as per your requirement. While comparing between several policies, you should be sure that your first policy is just like the second or third one so that your money do not go in waste while purchasing a policy. This way, you will be able to search for an affordable auto insurance policy online.

 

  1. Drive safely and do not make any accident - It is advisable that you drive your own car safely and avoid any and every accident that may occur anytime. You need to know that the insurance company comes into high risk if, by chance, you meet with an accident since then they will have to pay you the required coverage for it. They will then also have to lose their money on your car insurance policy. By driving your car safely, you will be able to pay low premium on your policy and continue your policy even in a tight budget.

 

  1. Pay the premium amount in full- Credit rating is an important factor as to how much you pay on your auto insurance policy. As such, you should keep in mind to pay your entire premium amount. You need to know that the insurance company will not show any worry about your credit rating. You pay the full premium to the insurance company and, in turn, the company will enable you to get a low rate on your policy.

 

Having a car insurance policy is beneficial particularly when you use your car most of the time. It is advisable that you buy one so that you can avoid the extra expenses that you may have to bear in case you meet an accident and do not have sufficient coverage for it.

Choosing the Best Stocks

Past performance of stocks and options helps to determine future success. When looking for stocks to invest in, you should look at their past performance. Owning stock represents owning a company, so you may want to start looking at companies who’ve earned your business. When a business gains success, the stockholder receives the benefits and in the event of a loss the stock holder will also incur a loss. It’s important to find companies that are positioned for success this year so your portfolio can grow.

There are tons of places to find investment opinions, many brokers will give you trend data for the year or 10 years or whatever your time frame is. In this post–recession phase, it’s become harder to figure out which companies are poised to make big gains on the recovery. Further, it is difficult to make an analysis about the best stocks to buy because of the large divergence in opinion of market analysts. You may want to take a collection of analyst opinions and average them to come to your conclusion. Their opinions of future events seem to vary widely.

Today, it is possible to subscribe to a few online financial newsletters with a few clicks of the mouse. By reading the articles and journals on such online financial news sites, blogs and newsletters as well as forums, one can get overviews of the stocks that have performed positively.

Stocks are available from a number of industries and sectors. It is always advisable to classify the type of stock to be purchased. While classifying you should think about what sectors will balance against another sector. This process might differ as selection and preference of investors will change depending on who you’re talking to. For example, there are investors who prefer gold shares; many investors again prefer penny shares. So, the process of stock selection can be investor specific but in general there remain few promising stocks.

Companies like MSFT (Microsoft), HPQ (Hewlett-Packard), CVX (Chevron) have sustainably fared well in the recent past. Many of the investment analysts predict high returns from these stocks during 2012. Greg Sushinsky expressed his views on Investopedia; he explained that effective stocks like VZ (Verizon Communications) can offer high dividends to the investors. Investors looking for stocks from the pharmaceutical sector can choose MRK (Merck). While predicting the best stocks of 2012 it is worthwhile to consider names of two large multinational corporations, UL (Unilever) and KO (Coca Cola) respectively.

During 2012, few penny stocks would be able to yield alluring returns. Though there is no specific definition of penny stocks, the stocks offered under $5 a share are usually considered as penny stocks. Online trading portals like E*Trade, Scottrade, Zecco, etc. are offering assistance in selection of best penny stocks of 2012. Gold stocks of Anglogold Ashanti, Barrick Gold, Goldcorp, Gold Fields, Newmont Mining, etc. have performed well during 2011. The trend suggests that these gold stocks will offer high returns.

In a volatile market, it is difficult to make distinct predictions. To estimate the best stocks to buy in 2012, it is necessary to check the online stock trading portals and journals regularly. Financial analysts are offering several reports, charts, fundamental and technical analysis. A strong unbiased self analysis with the help of these reports can prove to be helpful.

 

Financial Modeling

Very good PDF document on how to mine data for financial modeling and quant analytics. This is a very fascinating PDF how data mining works in the world of financial quant modeling.   http://www.nag.co.uk/IndustryArticles/DMinFinancialApps.pdf

Risk and Uncertainty Using Probabilistic Simulation

Simulation can be a highly valuable tool to help understand the mechanics behind a system. Using a system to predict future results can be quite difficult though. Most real world systems have some controlling parameters, processes, and events which are often stochastic, uncertain and poorly understood. The goal of using a simulation is to quantify the risk associated with a particular option, design or portfolio. You must be able to quantify the value of ALL risks within the system to get accurate results. (Hasn’t been perfected)

Many tools available use deterministic simulation to create an output. The input parameters for the system are represented using single values. Often a worst case scenario is used to create a baseline, and a set of expected values. Manipulation of these values can give great baselines for how the mechanics of the system work together. It’s unable to quantitatively assess the risk and uncertainties that are inherent within the system though.

Stochastic Calculus

Stochastic calculus:

Is a branch of mathematics that operates on the stochastic processes. Its a consistent theory of integration to be defined for integrals of stochastic processes. Its used to model systems that behave randomly. The best-known stochastic process is the Wiener proccess, which is used for modeling Brownian motion and other physical diffusion processes in space of particles subject to random forces. This model has been applied in quantitative finance to model the evolution in time of stock prices and bond interest rates.

 

ItO calculus and its variation relative to Malliavin calculus. This integral is most useful for general classes of processes the related Stratonovich integral is frequently used in problem formulation (typical for engineers) this integral can readily be expressed in the terms of an ito integral. The main benefit of the Stratonovich integral is that it obeys the chain rule and doesn’t require the ito’s lemma. This allows for a co-ordinate system invariant form, which is invaluable when developing stochastic calculus on manifolds other than Rn. The dominated convergence theorem doesn’t hold for the Stratonovich integral. Its very difficult to prove results without re-evaluating the integrals in ito form.