Skip to main content

Questions tagged [forecasting]

The tag has no usage guidance.

0 votes
0 answers
131 views

Is non-linear correlation problematic in financial time series prediction?

Many traditional finance models assume linear relationships between variables and features. Aren't linear correlations/covariances unable to capture financial processes empirically since they actually ...
develarist's user avatar
  • 3,040
2 votes
2 answers
1k views

How does Linear-Exponential Loss (Linex) function tend towards Quadratic Loss function?

Thank you for your help everyone, and I apologise beforehand if this is a lousy or dumb question. I am looking to read up more on Quadratic Loss & Linex Loss, and forecast optimality. In my ...
Kai's user avatar
  • 123
0 votes
0 answers
191 views

Optimal predictors for 1-month returns

I am implementing a Random Forest classifier algorithm on Python for predicting future stock returns (one month). My goal is to foresee whether the cumulative returns in a month will be negative or ...
Matteo's user avatar
  • 63
0 votes
2 answers
2k views

How to obtain one-step ahead forecast in Python based on GARCH?

I am trying to produce one-step ahead forecast using GARCH in Python using a fixed windows method. I ultimately want to put the code below in a for loop, but this code snippet does not perform as I ...
Xtiaan's user avatar
  • 103
1 vote
1 answer
2k views

GARCH(1,1) forecast plot in R with training data

I've fit a GARCH(1,1) model in R and would like to create a plot similar to the one in this question: Is this the correct way to forecast stock price volatility using GARCH Could someone direct me to ...
Ben's user avatar
  • 11
1 vote
1 answer
297 views

What are some good models for stock price predictions?

For the fitting and forecasting of time-series data on stock price, the most frequent model I have heard of is ARIMA. ARIMA is actually conducting a regression of stock prices and residuals of stock ...
Caprikuarius's user avatar
1 vote
0 answers
59 views

Why are cashflows "modelled backwards in time"?

A am currently reading a manual on how to use some actuarial modelling software to project the expected liability payments made under an annuity contract. In this guide, the following statement is ...
John Smith's user avatar
0 votes
1 answer
47 views

How do you build a model with uncertain time range?

Let's say you want to test the hypothesis that given a signal reaches some threshold, some asset will have some return over the next period. Here we have two unknowns. One, the value of your ...
confused's user avatar
  • 717
1 vote
2 answers
297 views

$n$-day ahead forecast for asymmetric DCC-GARCH model

I am working on forecasting covariances with the use of MGARCH models. I was wondering if anyone knows how to implement a n-day ahead forecast of the aDCC (asymmetric DCC) model in R. The ...
duruixuan's user avatar
0 votes
0 answers
39 views

Forecasting accuracy in one month and hedging

I am working on predicting the daily data of a financial time series $[Y(t+1),...Y(t+j)]$ =$f(X_1(t),...X_1(t-i),.....,X_n(t),...X_n(t-i))$ where $Y$ is a commodity price $X_i$ are predictor variables ...
BalticOY's user avatar
6 votes
2 answers
509 views

Forecasting volatility farther ahead with autoregressive machine learning

ARIMA and GARCH are old news for predicting volatility time series of asset returns. I am aware of papers that replace ARIMA and GARCH with machine learning algorithms to predict financial volatility ...
develarist's user avatar
  • 3,040
0 votes
0 answers
72 views

white noise not forecastable ? stationarity doesn't imply forecastability?

We know that white noise isn't forecastable because of its random aspect. White noise is also stationary, and which is confusing me, is that we always try to make a serie stationary to make forecasts, ...
twister9458's user avatar
4 votes
2 answers
291 views

How would you forecast volatility without using any programming languages or machine learning or anything of that sort?

I am trying to forecast volatility. I am on the tactical asset allocation team. No one on our team knows machine learning or any programming languages. We are fundamental equity research analysts ...
Winnie's user avatar
  • 73
2 votes
2 answers
283 views

Use futures contracts of different lengths to predict spot prices

So I am trying to see how future contracts prices with different time to maturity are able to predict the actual spot price of crude oil at the time of maturity for the contracts. I have the simple ...
kristoffer3110's user avatar
1 vote
2 answers
14k views

Find out the effective monthly discount rate for a 10% annual discount rate

First time posting. Apologies in advance if this is not the right question for this forum. If it is, please let me know if I should reformat this in a particular way. If it isn't, would it be more ...
questioner56's user avatar

15 30 50 per page
1
3 4
5
6 7
17