0
votes
0answers
19 views

Historical Market Cap

Where can I find a database that will tell me companies with $200 Billion in market capitalization since 2000? I am trying to understand companies that fall in this category for every year since 2000. ...
0
votes
0answers
31 views

Inflow outflow of money into a stock

http://www.barrons.com/mdc/public/page/2_3022-mfsctrscan-moneyflow.html#weekly Interestingly, for the 1-month DJIA total index, the balance is very close to one. Is there a mathematical explanation ...
2
votes
1answer
33 views

Translating dates to times

I am using Act/365 day-count convention. How do I compute the time offset between 2/28/2015 and 3/1/2016? 3/1/2017 Some ideas: Direct day count: count number of days between the dates, and divide ...
1
vote
0answers
32 views

Cumulants of variance gamma with stochastic arrival (VGSA) model

The characteristic function of the VGSA model is defined as a specific parameterization of the characteristic function of the CIR (Cox-Ingersol-Ross mean reverting process) time-change: $ ...
0
votes
0answers
51 views

One Way CSA Agreements

This is probably an older topic but I don't seem to find any related threads on this forum. What is the best way to value, let's say, a vanilla IR swap (you receive fixed) that you trade against a ...
0
votes
0answers
33 views

Compute stock price probability distribution from option data (IB method & negative probabilities issue)

I'm using a procedure as described in the interactive brokers article here (https://www.interactivebrokers.com/en/index.php?f=5910&ns=T) to compute a probability distribution from option (call) ...
3
votes
3answers
356 views

Sources of index data (MSCI, FTSE, S&P etc.)?

Who are the major suppliers of index data that cover multiple index providers, e.g. MSCI, FTSE, S&P etc? There are a huge number of people sourcing e.g. equity data, but index data is much harder ...
2
votes
3answers
665 views

Daily option data

I am wondering where I can pull daily (hourly, by-the-minute, etc. even better) option data for a particular underlying. I would prefer a database I could scrape through and API, but would not mind ...
0
votes
0answers
50 views

How can i build a portfolio of n assets that maximizes sortino ratio?

I want to construct a portfolio of n assets that maximizes the Sortino ratio. I want to use SOCP for the optimization but cannot formulate the Sortino ratio as a SOCP problem. How can I do this?
1
vote
1answer
71 views

Should a strategy backtested against three years of tick data continue to produce positive results?

Let's say we have a Binary Options 5-minute trading strategy that relies on multiple indicators and exploits price reversals in currency pairs. Now let's say there is a combination of inputs for the ...
1
vote
1answer
48 views

impact model what volatility to use

I am looking at the market impact paper here (http://www.cims.nyu.edu/~almgren/papers/costestim.pdf) and I had a question about volatility on page 11. On page 11 it is stated: "For volatility, we use ...
0
votes
1answer
27 views

Fannie Mae and Freddie Mac as substitute benchmark bonds

"The reduction seen in US government debt in the late 1990s has led to a redution in the supply of intermediate and long-term government bonds, and some concern has arisen over this fact. In the ...
0
votes
1answer
150 views

Parameters for numerically fitting t-distribution to log-returns

I am fitting the t-distribution to log-returns numerically (not using R, MATLAB, Stata, etc.), but rather using general programming. Assuming the log-return values are $r_t$, and the $t$-variates are ...
0
votes
1answer
89 views

How to calculate confidence interval for option price?

I model option prices for European call using Monte Carlo method. What is the proper way to calculate the confidence interval? A. -> Calculate the payoffs (there will be number of zeros as some ...
1
vote
1answer
84 views

How to calculate weight of two stocks without knowing their correlation?

I have difficulty to solve attached question. The question asks me to find new weight of stocks by just changing standard deviation of the portfolio. I really do not have any idea how to solve it. ...
2
votes
1answer
84 views

Why is my Euler discretization error increasing with number of steps?

I'm trying to see how the Euler discretization error behaves with respect to the number of steps. To do this I'm simulating a geometric brownian motion and comparing it with it's 'exact' solution. ...
0
votes
0answers
133 views

Forecasting conditional mean in ARMA-GARCH model (R/Matlab)

I am trying to forecast the conditional mean from a ARMA(1,0)-GARCH(1,1) model. The mean equation in my model is: $x_t = \mu + \delta x_{t-1} + h_t \epsilon_t$ where x is the variable (a return ...
0
votes
0answers
8 views

Seasonal ARIMA and choosing order

I've been reading quite a bit on SARIMA models and I'm still confused on a basic point - Do the seasonal and non-seasonal observations come from the SAME series? What I mean by this is, for example, ...
11
votes
4answers
4k views

What is an efficient data structure to model order book?

What is an efficient data structure to model order book of prices and quantities to ensure: constant look up iteration in order of prices retrieving best bid and ask in constant time fast quantity ...
5
votes
2answers
550 views

Why the difference between SPY and ^GSPC?

Look at SPY vs ^GSPC -- the difference seems bigger than can be explained by the ETF fees. Is it only because of SPY re-invests dividends quarterly or something else? Since ...
0
votes
0answers
22 views

Slippage as Transaction Cost

What is a best procedure when to include/not include slippage into a trading model. If you include it in high freuency trading style model, you never make money because slippage eats away all your ...
3
votes
0answers
100 views

Order Book Dynamics

I have been following this paper: http://arxiv.org/pdf/1104.4596.pdf The model is especially pertinent as I only have access to L1 data. The model is clear and intuitive and I have implemented the ...
0
votes
0answers
34 views

Return, STD and CAPM based on Continuously compound return on daily prices

Mission: For some ETF, Get 1, 3, 5 years: Return STD CAPM parameters (alpha, beta) Reference if I calculated correctly: Yahoo finance performance & risk data Raw data: Daily adj. close ...
0
votes
0answers
74 views

Skewed Generalized Error Distribution in GARCH modelling

I am trying to estimate GARCH models with the use of Theodossiou's (2000) Skewed Generalized Error Distribution. I am modifying matlab's ARMAX-GARCH-K toolbox to calculate this model. I am calculating ...
3
votes
2answers
127 views

Sharpe Ratio : why the normalization factor?

I try to understand why a $\sqrt{252}$ normalization factor is useful for Sharpe Ratio: Let's compute the Sharpe Ratio for this imaginary portfolio, for various sampling periods: ...
4
votes
2answers
206 views

How to trade leveraged ETFs

Leveraged ETFs (LETFs) are known to lose value over time due to the "volatility decay" effect. What're the most common strategies for trading LETFs to take advantage of this volatility effect? Also, ...
1
vote
1answer
64 views

Path Dependent Options - Which choice of model?

Can someone please help elaborate/clarify the below statements? I've heard about them from people but would like to know some more detail behind these statements.. - 1) SABR is not useful in pricing ...
5
votes
1answer
185 views

Central bank interest rates: are they quoted annualized?

After a little research on interest rates of different countries I figured out that they are more complicated than I thought and the meaning of them varies country by country. For example, the U.S. ...
11
votes
8answers
7k views

Why does implied volatility show an inverse relation with strike price when examining option chains?

When looking at option chains, I often notice that the (broker calculated) implied volatility has an inverse relation to the strike price. This seems true both for calls and puts. As a current ...
3
votes
2answers
234 views

Pricing when arbitrage is possible through Negative Probabilities or something else

Assume that we have a general one-period market model consisting of d+1 assets and N states. Using a replicating portfolio $\phi$, determine $\Pi(0;X)$, the price of a European call option, with ...
2
votes
1answer
235 views

Portfolio Analytics Optimization

I have a large dataset, 10,000 investments I am trying to create an optimized portfolio for. The portfolio has 3 restrictions. Long Only, Only 50 assets can be selected and every invested asset has ...
16
votes
5answers
6k views

Implementing data-structures in a Limit order book

I'm working on implementing a 'LOB' and I'm being very careful about choosing my data-structures so as to maximize performance. Using F# as an example, I need to consider a List versus Array for ...
0
votes
0answers
22 views

Including intercept and trend in ADF of differenced series

When specifying that the trend and/or intercept be included in the ADF output, does the trend/intercept election follow through to the ADF tests of differenced data as well? To clarify further, I ...
0
votes
1answer
73 views

What is the current state of microstructure/order book analysis?

I know it's a broad question, but I'm curious as to the current state of microstructure analysis, specifically whether there's anything 'actionable' that people have discovered. Would also be ...
0
votes
0answers
109 views

Bid, Ask and pnl allocation

I am quite new to the field of market making and was asking myself the following question: Suppose I have 2 clients: lets call them client 1 and 2. I'm market maker. Client 1 buys 100 shares from ...
1
vote
1answer
45 views

Double no touch option with four barriers

The double no touch (also known as a range binary) is an option with two American barriers. You define one barrier above the underlying asset and one below it. If during the option's lifetime the ...
3
votes
0answers
98 views

Is Low-Volatility expensive these days? How can we analyze this?

Low volatility investing became somewhat fashionable in recent years. In general there are two approaches to this Ranking stocks of a certain universe by either stand-alone volatility or by beta and ...
4
votes
3answers
91 views

Abritrage when Put Option Greater then Strike Price?

I am having a tough time conceptualizing this question here: Let $P$= Price of European Option, $S$ = Present Price of Option and $K$ = Strike Price. If $P > K$, why does abritrage exist? Assuming ...
2
votes
1answer
103 views

How to get the IMM dates in Python for a given symbol?

How can I get an IMM date from its 2 character symbol (eg. "U6", "Z8") in python? I have not been able to install the quantlib addin (it's hard if you aren't tech savy), so please don't point me in ...
3
votes
1answer
96 views

Log-likelihood of skew-t distribution

I am trying to estimate GARCH models with the use of Hansen's (1994) skew-t distribution. I am using matlab's ARMAX-GARCH-K toolbox, where the log-likelihood is calculated as: ...
1
vote
0answers
14 views

Which rate have to be considered by using multiliteral netting?

I do have a netting structure consisting of four companies (A,B,C,D) and a netting center. The center also takes place in the netting process. The netting center uses the EUR as currency. Company A ...
1
vote
1answer
147 views

Long Forward Rate Agreement, short Eurodollar futures

For this question If you are long a FRA and short a ED future with the same fixing dates, do you have positive convexity or negative convexity? The answer is positive convexity, because a ...
5
votes
0answers
171 views

How should option prices differ when using the Heston versus the Black-Scholes model?

I am running Monte Carlo simulations for a European Call using Heston Model and I am trying to compare them with prices calculated using Black-Scholes formula. I am not quite sure if the prices I get ...
1
vote
1answer
34 views

Value at risk in dollars vs. log returns

I have a quick question about this remark in Tsay's book "Analysis of Financial Time Series" (3rd edition). He says that $$ \text{dollar VaR} = \text{Value} \times \text{log return VaR} $$ and that ...
0
votes
0answers
46 views

Probability of reversion for cointegrated variables

I ran a Johansen test to figure out the cointegrating relationship between two variables $x$ and $y$, forming the equation $z=ax+by$ using the eigenvectors. The values are computed using from time ...
0
votes
0answers
60 views

Determining Strike Price given stock price and option price

I am having a bit of trouble with this problem: Say the current price of a stock is 100 and an individual purchases an in the money option for 10. Using that info, how can you determine what the ...
0
votes
0answers
13 views

Magnitude of Predictors on Logistic Regression

We are using logistic regression for calculating delinquency. We know what the major predictors are, but we don't know how to quantify the impact of each of the major predictors. We know how to rank ...
2
votes
1answer
89 views

Fed FOMC Target Rate annnouncement machine readable data point

Does anyone know if there is a near-realtime machine-readable feed that reflects the FOMC target rate announcement? The announcement came in today at 2 pm, but I can't find a way to download the ...
1
vote
0answers
79 views

Simulating Option Positions VaR with Monte Carlo in Python

I'm trying to calculate VaR for overall option positions. Currently I do a MC simulation for the underlying, and derive the theoretical value of the option from those theoretically. Then I calculate ...
0
votes
1answer
86 views

Price of a Stock: What is it?

My limited understanding of stock prices is that according to theoretical arguments, the price of an asset is generally given as:$$P_{A}=E_{0}\,\sum_{t=0}^{\infty}\frac{C_{t}}{(1+r)^{t}}$$ whereby ...

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