Shares of stock traded in a stock market. Equities represent the residual claim or interest of the most junior class of investors in assets, after all liabilities are paid.

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3
votes
0answers
80 views

Individual/casual investors and the bias towards blue-chip stocks?

There's quite a bit of research (example, [1]) teasing out the fact that home/casual/individual investors prefer stocks with large positive skewness. It surprised me, as I was reading a bunch of these ...
8
votes
1answer
832 views

Forward Adjusting Stock Prices?

How should one correctly forward adjust historical prices given a time series of Open, High, Low, Close, Return? Suppose that the data series is given below ('1' is the oldest interval; '5' is the ...
7
votes
1answer
262 views

Alternative liquidity measures

I'm going to write the MSc thesis on flight-to-liquidity phenomenon in stock markets and I'm interested in liquidity measures other than Amihud or bid-ask spread. What are some other popular measures ...
3
votes
1answer
311 views

How to calculate probability of touching a take-profit without touching a stop-loss?

How to calculate probability of touching a take-profit without touching a stop-loss (no-dividend stock, infinite time)?
1
vote
1answer
302 views

equity linked notes (bull/bear equity performance bonds)

I have to price what my lecturer calls "Bull and Bear Equity Performance Bonds". Basically there's dates $t_i \in [0,T]$, where $t_i - t_{i-1}$ is the same for all choice of $i$. On each date the bull ...
2
votes
1answer
152 views

Historical data on short rates

I would like to backtest a short-equity strategy. I'm looking for historical data on the availability of shares and cost to short certain stocks. Does anyone know of such data being available ...
4
votes
2answers
174 views

Can money technically flow in and out of stocks or asset classes?

For every buyer, there is a seller. Money can't 'flow' in and out of a stock, only the price changes. Is this applicable in the context of asset classes, for example, money market funds versus stocks? ...
5
votes
0answers
146 views

Testing for stock market herding over short periods

The literature has well established methods for testing stock market herding over a decent time window. Are there any ways that have appeared in the literature to test for stock market herding over ...
6
votes
3answers
340 views

What is an acceptable error on implied volatility?

Given an implied volatility surface (on equity indexes) and a calibrated model, what is the range of error on implied volatility a trader would accept ? This obviously depends on the model used to ...
10
votes
3answers
1k views

Hedging stocks with VIX futures

It seems that VIX futures could be a great hedge for a long-only stock portfolio since they rise when stocks fall. But how many VIX futures should I buy to hedge my portfolio, and which futures ...
4
votes
1answer
1k views

SP500 sector weights - how do they change?

The weights of the nine S&P equity sector indexes vary over time. One can find measures of them in a number of different formats: S&P 500 Sector SPDRs - historical sector weights Here's ...
4
votes
2answers
175 views

Indexes/stocks with flat implied volatilities

After the 1987 crash, the S&P500 index implied volatility changed from nearly flat to negatively sloped. According to Rubinstein the Black-Scholes model was not so wrong when applied to the ...
3
votes
1answer
999 views

Commerical delayed stock quote feed that is redistributable?

I'm looking for a commercial delayed quote feed that will allow us to distribute delayed US stock market quotes to the public (ie. that will allow us to display US delayed quotes on the Internet). We ...
0
votes
2answers
662 views

How do I calculate weighted mean with negative weights?

I need to display in my system the amount of stocks that I own and the average price it took me to buy them. I am having a problem doing that when I include the selling. Lets say I bought 4 stocks ...
4
votes
3answers
2k views

How to normalize different instruments by volatility?

I'm trying to think on a way to normalize stocks to be on the same scale depending on their recent volatility. Is there some theoretical reference on the subject or and experience you can share?
1
vote
1answer
156 views

transaction size and liquidity in simulation of US stocks

i am developing a simulation trading in US stocks. i have 1 transaction a day per stock, assumed for simplicity to be executed at the daily closing price. in order to determine a reasonable maximal ...
4
votes
1answer
357 views

What is the relative performance of hard-to-borrow securities?

Is there any research on the equity return performance of hard-to-borrow securities? Many shops will simply screen for hard-to-borrow and eliminate these names from their short book. Anecdotally, ...
4
votes
1answer
667 views

Science behind options pricing into Earnings event

I am wondering about studies regarding the uncanny options pricing into public company's earnings reports. The phenomenon being that the price of a straddle before earnings costs near exactly the ...
6
votes
1answer
210 views

Estimate price movement per unit of volume for daily data

I'm working on backtesting a number of stock trading strategies and need to estimate how much the execution price will likely deviate from the historical close price for that asset using daily data; ...
4
votes
3answers
442 views

Why should there be an equity risk premium?

After years of mathematical finance I am still not satisfied with the idea of a risk premium in the case of stocks. I agree that (often) there is a premium for long dated bonds, illiquid bonds or ...
-3
votes
1answer
142 views

Methods for distributing cash into allocation

Are there any methods/techniques that cover distributing cash into a specific percent of a portfolio asset class while gaining the best average price? As a simple example, a portfolio starts with ...
8
votes
4answers
467 views

Position management in presence of continuous forecast

Let's say we have an equity liquidity-providing model that was fitted on 1 minute bar periods. The model forecasts the 1-min next period return given the activity of the previous bars. Now, when we ...
13
votes
3answers
4k 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 ...
-2
votes
1answer
148 views

Different stocks with the same stock code [closed]

Is it possible to have different stocks with the same stock code on different stock exchanges.
2
votes
0answers
384 views

What is an appropriate hedge ratio for hedging a credit instrument with equity of the same issuer?

Given a bond and a stock issued by the same issuer, what is the appropriate ratio of bond-to-stock one should hold in order to minimize the specific risk to that issuer? Equivalently, what is the ...
6
votes
1answer
245 views

How to assign equity analyst recommendations to a common, numeric scale?

Yahoo finance conveniently provides historic ratings from a number of analysts. Unfortunately, each analyst seems to use a different scale: buy/hold/sell, perform/outperform/neutral, overweight/equal ...
5
votes
1answer
270 views

looking for regulations regarding stock symbol reuse in the US

in june 2009, GM has filed for bankruptcy. trading has moved from NYSE to OTC pink sheets, and the symbol changed to GMGMQ and later to MTLQQ. in november 2010 a new GM symbol started trading on NYSE. ...
6
votes
1answer
380 views

NASDAQ TotalView ITCH order reference number number characteristics

I am building a custom hash implementation for storing NASDAQ ITCH order messages. Obviously this is keyed on the order reference number and I am wondering if these numbers are sequential, random or ...
8
votes
1answer
440 views

Any research paper on stop loss?

Has there been any rigorous study on stop loss ? When to apply it? Has it been shown to work through proper statistical backtests? I am interested in Equities, preferably European stocks.
2
votes
0answers
174 views

Can a higher P/E ratio be beneficial under certain circumstances? [closed]

I am new to investing. I understand that the P/E ratio along with other data can be used to determine whether a stock may or may not be undervalued. Are there situations where a HIGH P/E is actually ...
6
votes
3answers
558 views

How to account for jumps in intraday data when calculating beta?

I am calculating betas on intraday trade data at 15-minute intervals. For simplicity sake, let's assume I am modeling \begin{equation} Y = \beta * X + c \end{equation} where $Y$ is the return of XLF ...
7
votes
3answers
317 views

How to improve the consistency of explained variance statistics in a linear equity model?

I have an intraday equity returns linear model that, overall, shows good values in terms of $R^2$, p-value and other explained variance statistics. Around 70% of the stocks show consistent R-squared ...
9
votes
3answers
2k views

How to solve for the implied stock lending rate given equity options prices?

When market makers price options on hard-to-borrow equities, they include the cost to borrow the underlying equity that their broker is going to charge them to sell the security short to hedge. I'm ...
6
votes
2answers
309 views

What close price to assume for thinly traded stocks?

If a thinly traded stock has not traded for the last few days (volume=0), is it better to use the last known trade price (i.e. roll over last non-missing trade price) or use last known ...
10
votes
3answers
2k views

How to cluster stocks and construct an affinity matrix?

My goal is to find clusters of stocks. The "affinity" matrix will define the "closeness" of points. This article gives a bit more background. The ultimate purpose is to investigate the "cohesion" ...
19
votes
6answers
1k views

Why do some anomalies persist while others fade away?

In their 1990 book, A Non-Random Walk Down Wall Street, Andrew Lo and Craig MacKinlay document a number of persistent predictable patterns in stock prices. One of these "anomalies" is variously known ...
2
votes
1answer
222 views

In a covered call strategy, should I hold the call or sell/roll if the delta becomes too small?

I am tweaking a covered call algorithm. The short leg consists of out of the money call options. The goal is to collect the tim premium, but an equally favorable circumstance is when the call ...
9
votes
1answer
425 views

How to estimate the covariance of an index with a basket of stocks?

What would be an ideal way to estimate the covariance of an index with a basket of stocks? For example, should I use one-tail ANOVA test or an individual stock & index F-test?
5
votes
4answers
1k views

How to compute momentum from equity time series?

Let's say I have time series of stock prices for many stocks. What's the best way to sort the stocks based on which have been going up/stayed the same relative to others? Can this be done with a ...
0
votes
0answers
125 views

Getting the actual distribution of a stock price at time T using implied volatility [duplicate]

Possible Duplicate: How to derive the implied probability distribution from B-S volatilities? Let's assume a stock price S, with volatility $\sigma$ constant, no dividend, and risk free ...
11
votes
2answers
832 views

How to forecast expected volatility from high-frequency equity panel data?

I'm wading through the vast sea of literature on realized volatility estimation and expected volatility forecasting (see, e.g. Realized Volatility by Andersen and Benzoni, which cites 120 other ...
20
votes
4answers
3k views

Any research on how natural language processing can be used to forecast stocks?

Is there any published research of decent quality linking news or unstructured information to asset returns? I know that Thomson Reuters offers its Machine Readable news (MRN), so somebody must use ...
4
votes
2answers
189 views

How do earnings estimates respond to changes in underlying fundamentals and economic conditions?

Sell-side analysts' earnings estimates for individual companies, typically reported by I/B/E/S, are a key ingredient to many quantitative models. However, revisions to analyst estimates tend to lag ...
8
votes
2answers
577 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 ...
13
votes
2answers
680 views

How do you distinguish “significant” moves from noise?

How do you distinguish between losses that are within the normal range for day-to-day shifts and situations with a real potential for loss? The specific application I have in mind is pattern ...
6
votes
1answer
2k views

How do I reproduce the cross-sectional regression in “Intraday Patterns in the Cross-section of Stock Returns”?

Recently I was trying to reproduce the results of "Intraday Patterns in the Cross-section of Stock Returns". The authors used cross-sectional regression to determine which intraday lags have ...
11
votes
2answers
873 views

When should you build your own equity risk model?

Commercial risk models (e.g., Barra, Axioma, Barclays, Northfield) have evolved to a very high level of sophistication. However, all of these models attempt to solve a very broad set of problems. ...
5
votes
4answers
802 views

Do low volatility stocks outperform high volatility stocks over the long run?

A recent article from Forbes seems to indicate that low volatility stocks outperform high volatility stocks over the long run. Does anyone have any supporting or contradicting evidence to this claim? ...
-6
votes
1answer
366 views

get live data from national stock exchange [closed]

http://billing.finance.yahoo.com/realtime_quotes/signup?.src=quote&.refer=quote Can i get real time data(from NSE india) using Yahoo finance API after subscribing to their service ?
8
votes
2answers
2k views

How we can forecast stock prices using chaos theory?

I saw an article in which the writer had mentioned that he used chaos theory to predict stock prices and ended up with a profit over 30%. Chaos theory is basically about finding patterns called ...