Interpolation of financial time series data in a virtual geographic environment

About this item

Title

Interpolation of financial time series data in a virtual geographic environment

Content partner

Unitec

Collection

Research Bank

Description

This paper introduces a new approach to visualising and interpolating financial time series data, e.g., Bitcoin prices, in a spatial domain using the notion of spatialization: forming a spatial representation of non-spatial phenomena. The proposed algorithm first utilises the temporal components of the observations, i.e., date and time, to build a 2D virtual geographic map. It then uses the assigned coordinates to the observations and their values to estimate unknown values and construct a 3D...

Read more

Format

Research paper

Research format

Conference item

Date created

2022-06

Creator

Borna, Kambiz

URL

https://hdl.handle.net/10652/5733

Related subjects

Bitcoin / financial time series data / time series data / financial markets / spatialisation / algorithms / Financial econometrics

What is the copyright status of this item?

All Rights Reserved

This item is all rights reserved, which means you'll have to get permission from Unitec before using it.

More Information

Unitec has this to say about the rights status of this item:

All rights reserved

What can I do with this item?

You must always check with Unitec to confirm the specific terms of use, but this is our understanding:

Non-infringing use

NZ Copyright law does not prevent every use of a copyright work. You should consider what you can and cannot do with a copyright work.

No sharing

You may not copy and/or share this item with others without further permission. This includes posting it on your blog, using it in a presentation, or any other public use.

No modifying

You are not allowed to adapt or remix this item into any other works.

No commercial use

You may not use this item commercially.