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4
votes
1answer
77 views

Monte Carlo for Asian Pricing

I'm trying to verify the accuracy of my Monte Carlo method for pricing mean options. I came across this paper that supposedly gives an 'exact' solution for the arithmetic mean option (asian). It's a ...
3
votes
1answer
80 views

Residuals Fama MacBeth Regression

I am still asking myself what the pricing error terms in the Fama-MacBeth regression are. Are they the intercept I regress across all assets in each month, once? Or are they the residuals of each ...
0
votes
1answer
49 views

Double sign for the error term in an ARMA-GARCH model

Why in an ARMA-GARCH model for a stationary series $r$ (without $c$ for simplicity) is $r_{forecast} = ARMA + \sqrt{GARCH} \cdot inn$ and not $r_{forecast} = ARMA \pm \sqrt{GARCH} \cdot inn$? The ...
1
vote
2answers
100 views

Error distribution assumption in a simple ARIMA model

why in an ARIMA-GARCH structure I have to assume an error distribution to run the estimation while in a simple ARIMA model it is not required? Thank you
0
votes
1answer
62 views

Single Model Accuracy Estimation

I'm working on a model to estimate CDS prices, and want to backtest it against a historical timeseries. What are some error/goodness of fit measures that I can use for this purpose outside of RMSE? I'...
2
votes
1answer
141 views

Error on Paul Wilmott Section 5.2?

I gave this a long and hard thought because Paul Wilmott is a respected quant and I don't want to criticize his book, but am I correct in concluding that this section contains lots of errors? These ...
1
vote
0answers
27 views

Quandl Error in R

Please Help I am trying to download data from Quandl using R but getting following error, request you to look into and please help me out. data[[i]] = Quandl(tick , start_date = Prev_day_dt , ...
2
votes
1answer
279 views

Quantlib: AmericanOption implied volatility / root not bracketed

When I apply the americanoptionimpliedvolatility function in the following format: ...
1
vote
2answers
346 views

Error in barrier option pricing Monte Carlo

I am currently trying to price an up-and-out call with Monte Carlo simulation. For an option with these parameters : Barrier: 65 $K$ = 50 $\sigma$ = 30% $R $ = 1% $T$ = 1Y $S_0$ = 50 With 10.000 ...
1
vote
1answer
234 views

In a Monte Carlo simulation, will a delta hedge control variate necessarily reduce the standard error more than an antithetic variate?

I have four Monte Carlo simulations and will list them in order of highest standard error to lowest. Plain MC MC with delta hedge control variate MC with antithetic variate MC with antithetic and ...
1
vote
0answers
50 views

A priori selection of acceptable backtesting errors (type I and II)

Is it possible to a priori select an acceptable values of type I and II errors in backtesting (f.e. in case of the unconditional coverage test)? Type I error is directly connected to the significance ...
2
votes
0answers
47 views

How to calculate the estimation error of portfolio variance using propagation results?

I am trying to find a conservative approximation for the propagated estimation error of a investment portfolio's variance (comprising two assets), given we know the estimation error for the variance ...
1
vote
0answers
249 views

R quantstrat backtest with dollar based position sizing

I am attempting to tweak a quantstrat based backtest but have run into an issue. The maxPos limits are share based, and I would rather use a fixed dollar amount instead. So I've tried generating a ...
2
votes
0answers
175 views

How to Handle Error in SEC Filings

Sometimes I see obvious errors in the 10-K or 10-Q filings that appear to go uncorrected in subsequent filings for the same period. For example, on June 9, 2014 Apple, Inc. did a 7-to-1 stock split. ...
2
votes
0answers
82 views

Calculating the error of a Trinomial Model

I've been trying to find a formula to obtain the maximum relative error a trinomial model with n timesteps will incur given all other inputs as compared to the standard BSM model. I'm concerned mostly ...
3
votes
0answers
274 views

Good criteria to sort state-space $\beta_{t}$ according to Kalman filter output

Let's assume the usual state-space linear model without constant term for simplicity: $y_{t}=\beta_{t} X_{t}+\epsilon_{t}$ If we apply Gaussian Kalman filter to estimate $\beta_{t}$ we get $P_{t}$, ...
10
votes
3answers
529 views

Scanning a stock database for errors/flaws

I'm currently working on some matlab code that is supposed to check a stock database for any errors (missing values, wrong values, etc.). The reason for this is that after reading this post I came to ...