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Factor performance in different groups

While we are testing performances of factors, it is common for us to put stocks into different groups based on their exposure to certain factor, such as size, value, momentum,etc., Then we can test ...
Gamma's user avatar
  • 21
1 vote
0 answers
78 views

Can factor neutralization hedge market risk

While coding a strategy that uses 50% of the fund to long the group of stocks with the greatest exposure to a factor called MIF, and the other 50% to short the group of stocks with the least exposure ...
Gamma's user avatar
  • 21
0 votes
0 answers
68 views

Forward price arbitrage

To price a forward on a stock we usually use arbitrage to find that the price of the forward is the price of the stock compounded by the risk free rate. I don't have the data to try things, so was ...
missing_name's user avatar
0 votes
0 answers
30 views

Does switching between Bond and Equity closely tracking Interest rate generate more returns?

Is there an evidence to suggest that we buy bond during high interest regime and when interest rates goes down , we sell the bond and buy Equity Index .. Repeat this by closely following the central ...
Kavinkumar R's user avatar
0 votes
0 answers
54 views

Calculating PIN or PIN-like factor without having intraday / tick data

I am looking for a method of estimating PIN (probability of informed trading) for US equities without having access to intraday / tick data, but using daily OHLC instead. I imagine its impossible but ...
helloimgeorgia's user avatar
0 votes
1 answer
74 views

Marginal effect of asset in a strategy

Im trying to develop a stastical arbitrage strategy that depends on a universe of assets and in a brief way, they replicate some factor(s), index(s), etf(s), etc, and then trade residuals. So, after ...
Nicolás Zanni's user avatar
1 vote
2 answers
657 views

Expected slippage based on % of average daily trading volume

I have started a quant strategy that buys and sells thousands of stocks. Each trade represents <1% of average daily trading volume. On average, the trades represent around 0.1% of ADTV. What is a ...
helloimgeorgia's user avatar
0 votes
2 answers
220 views

Is there any utility to being able to predict an assets current price?

I was playing around with some models, and I'm able to predict a stock's current price based on the current prices of other stocks. This model is extremely accurate, although I can't see any use of ...
user708873's user avatar
1 vote
0 answers
69 views

A theory behind an accumulation and distribution process

A concept of accumulation and distribution process was developed by Richard Wyckoff. In simple words a smart money sells shares in order to hit its buy limit orders, then starts to buy shares in order ...
mkultra's user avatar
  • 278
1 vote
0 answers
155 views

Calculating performance decay of a strategy

Came across this thread which basically advises t-test for difference in means across periods to calculate whether our edge is deteriorating. The catch being that this test will probably not be ...
redpowertie's user avatar
2 votes
1 answer
2k views

What are the "sniffing" or "stalking" algorithms?

I was looking for all the sorts of trading algorithms used in stock market and I came across the so-called "sniffing" algorithms. However, the explanations of this concept I found are very ...
mkultra's user avatar
  • 278
0 votes
0 answers
179 views

Pairs Trading Strategy Pre-Selection

I am writing paper on the profitability of the pairs trading strategy using US equities. I have done a pre-check to see which business sectors have stocks that are cointegrated. The utilities sector ...
Kazi Mashrur Ahmed's user avatar
1 vote
2 answers
367 views

What's the optimal way to size a limit order?

Say Bob wants to buy \$30 million worth of APPL stock at a price of \$130. He decides to use a limit order. But posting a $30 million limit order would drive the price up and prevent him from being ...
Dylan Kerler's user avatar
2 votes
1 answer
282 views

stock price path simulation using GBM, is it possible to run the same simulation over and over again?

When I simulate a stock's price path using geometric brownian motion I am sometimes able to get a pretty good forecast that fits the real values very well. But if I run the simulation again, the ...
PlatinumMaths's user avatar
0 votes
0 answers
238 views

How is the total return of an alpha strategy being calculated during backtesting?

I am using a quant simulation platform and I have chosen a formulaic alpha to be used. Now the platform is backtesting and displaying the total return of the alpha strategy over 12 years. The trading ...
user123456's user avatar
1 vote
3 answers
399 views

Backtesting Period Effect

I am backtesting a stock trading strategy. I tested it over two time periods: 2000-2020 and 2015-2020 and compared the results against a buy and hold strategy. To be clear, I only changed backtesting ...
Stat's user avatar
  • 151
0 votes
1 answer
339 views

Sharpe Ratio Graphed Over Time

I looked and could not find a suitable answer to my question already, so: What is the best way to calculate the Sharpe Ratio over time, given I have about a decade's worth of 1-minute candlesticks? I ...
Paul McElroy's user avatar
1 vote
0 answers
42 views

Combining multiple securities' Net Asset Value time-series into one total NAV series

I have a number of individual securities that each have a Net Asset Value (NAV) time-series. For example: ...
Stacey's user avatar
  • 183
2 votes
1 answer
190 views

Continuous Percentage Profit and Loss calculation

I need to calculate a profit and loss for an equity timeseries. The position size (column D in the below table) is not binary (not moving from zero position to a position and then back to zero ...
Stacey's user avatar
  • 183
0 votes
1 answer
480 views

Predict Log Stock Return Direction and Trading Strategy

The $k$ period log return is defined as $$r_{t}(k)=log(S_{t}/S_{t-k}),$$ Where $S_{t}$ is the stock closing price at time $t$. For argument sake, assume that by time I mean a stock trading day and ...
Stat's user avatar
  • 151
0 votes
2 answers
145 views

Trading after the close

Are there institutions that will fill stock trades after the close (from stock on their order book) at the official close price? If so, would it be significantly more expensive to execute a trade this ...
Stacey's user avatar
  • 183
-1 votes
5 answers
367 views

Sending order to Forex or Stocks from Python strategy

I have my own strategy developed in Python. But I couldn't find a reliable method to send, close, and modify orders using Python. Are there any tools that help order management using Python? I also ...
Don Coder's user avatar
  • 139
0 votes
0 answers
89 views

Constrained Optimization for performance attribution

I am trying to perform constrained opmitization for portfolio performance attribution analysis. Specifically, I am trying to determine the impact of sectors performance on the S&P 500 index. Min ...
JungleDiff's user avatar
1 vote
2 answers
241 views

Seeking papers that deal with stock market analysis

I am sure there are a lot of papers that are related to stock market analysis.. but I haven't been able to find ones that fit my needs most. I want to read papers, replicate their analysis, and use ...
JungleDiff's user avatar
1 vote
0 answers
107 views

Correlation between a sector and MSCI ACWI returns

I have daily return data of 11 sectors of MSCI World Index and the MSCI ACWI index. I want to know the stationarity of correlations between the sectors and MSCI ACWI index. This is what I have done: ...
JungleDiff's user avatar
1 vote
0 answers
76 views

How to make use of sector index returns data to analyze the overall stock market index

I have a set of indices returns data, namely, ...
JungleDiff's user avatar
2 votes
1 answer
193 views

What steps are for a specific Day Trading Pattern

I am new to day trading, and I am looking to get a better understanding of what key attributes can be identified when trying to identify patterns when day trading. Specifically, I am looking to find ...
CodingRiot's user avatar
4 votes
1 answer
6k views

Interactive Brokers - Tracking High Relative Trading Volume

I'm new to Interactive Brokers (and day trading), I am trying to setup my different charts etc. How can I have alerts/monitor for any stock that is trading at above average volume - compared to X? ...
Blundell's user avatar
  • 141
1 vote
0 answers
220 views

How to mathematically compute the volatility range of each stock?

I joined a stock market group and in this stock group, there is a proprietary "daily trading range (or DTR)" that the founder uses. However in order to do this for all the hundreds of stocks in the ...
Pherdindy's user avatar
  • 141
-1 votes
1 answer
517 views

Trading strategies for illiquid markets [closed]

Is there any literature on trading strategies for illiquid equities markets, such as research papers or articles? I've done some searching but haven't turned anything up.
npp1993's user avatar
  • 159
6 votes
2 answers
5k views

Meaning of cross sectional rank

This paper mentions the concept of rank which is defined as cross sectional rank. For e.g. one of the alphas (#3) is (-1 * correlation(rank(open), rank(volume), 10)) 10 is just the number of days ...
user1434997's user avatar
0 votes
1 answer
17k views

Replication strategy of European call option

So the question asks: L et $S(0) = 120$ dollars, $u = 0.2$, $d = −0.1$ and $r = 0.1$. Consider a call option with strike price $X = 120$ dollars and exercise time $T = 2$. Find the option price and ...
Betty's user avatar
  • 171
4 votes
1 answer
275 views

forecasting trading costs with end of day data

I am trying to create a model that forecasts trading costs (using end of day data, so no intra day data). My trading cost (also called Implemented Shortfall (IS) is defined as such for a single stock, ...
mHelpMe's user avatar
  • 259
1 vote
1 answer
469 views

What does NPV ASSENTED after stock name mean?

For a project, I have to quantitatively implement a strategy for value investing in EURO STOXX 50. I pulled the data from Datastream. When I was checking some data plots for dividend yields and total ...
Finance_Newbie's user avatar
1 vote
2 answers
404 views

Who holds stock overnight?

I have heard from several different sources, e.g. professors, books and traders, that daytraders and quants avoid holding positions overnight and during holidays and weekends. Instead, they sell their ...
Student tea's user avatar
2 votes
0 answers
163 views

seasonality and generalized additive model

I am reading a report which talks about seasonality. There is a chart showing the average returns for each month of the year. In the chart it appears the last 3 months of the year tend to be negative. ...
mHelpMe's user avatar
  • 259
7 votes
2 answers
2k views

Non-negative matrix factorization for factor analysis of stocks

I stumbled over the term Non-negative matrix factorization in presentations such as Application of Machine Learning to Finance and this Big Data in Asset Management. The basic idea is to decompose a ...
Richi Wa's user avatar
  • 13.8k
5 votes
2 answers
3k views

How to incorporate fundamental analysis in quantitative trading algorithm? [closed]

I want to write a quantitative stock trading program based on fundamental analysis. It would crunch through prices, financial reports to look for value stocks. It can support backtesting of strategy ...
kakarukeys's user avatar
2 votes
0 answers
425 views

Fluid dynamics for order book depth modelling

Would someone be able to give me an idea what type of fluid dynamics I could look at for modelling the order book? My background is more signals-related maths (correlation, covariance, fourier etc). ...
user997112's user avatar
4 votes
2 answers
1k views

Cointegration trading: Ignoring pairs that aren't economically related

Cointegration trading question What's the state of the art when it comes to choosing proper subsets of stocks/assets where cointegrating relationships aren't ignored as (likely to be) spurious? For ...
Jase's user avatar
  • 1,510
9 votes
2 answers
939 views

What is a reasonable upper bound on the performance of a daily trading strategy?

I am backtesting an equity trading strategy which trades only once per day. Is there a general rule of thumb for the reasonable upper bound on the rate of return of such a strategy? For example, a ...
monksy's user avatar
  • 766
27 votes
3 answers
8k views

What are the best sources for equity quantitative research?

What are the best sources of quantitative finance research in equities? I will list a couple and note an asterisk if the research is available by request (i.e. non-clients) or online: BAC-Merrill ...
20 votes
2 answers
5k views

How can I learn about the quantitative aspects of market making in illiquid single stock options?

I would like to learn more about the possible ways of doing quantitative research regarding option market making. In particular, while the mainstream index option market may be very liquid, the ...
Soham's user avatar
  • 315
28 votes
8 answers
6k views

How to design a custom equity backtester? [closed]

I was thinking about writing my own backtester and I realize I have to make some assumptions. So I was hoping I could post what I am planning on doing and hopefully some of you can give me some ideas ...
user667's user avatar
  • 381