|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "<img src=\"../../images/qiskit-heading.gif\" alt=\"Note: In order for images to show up in this jupyter notebook you need to select File => Trusted Notebook\" width=\"500 px\" align=\"left\">" |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "markdown", |
| 12 | + "metadata": {}, |
| 13 | + "source": [ |
| 14 | + "# _*Qiskit Finance: Overview*_ \n", |
| 15 | + "\n", |
| 16 | + "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-tutorials.\n", |
| 17 | + "\n", |
| 18 | + "***\n", |
| 19 | + "### Contributors\n", |
| 20 | + "Stefan Woerner<sup>[1]</sup>, Daniel Egger<sup>[1]</sup>, Christa Zoufal<sup>[1]</sup>, Andrea Simonetto<sup>[1]</sup>, Jakub Marecek<sup>[1]</sup>, Martin Mevissen<sup>[1]</sup>, Shaohan Hu<sup>[1]</sup>, Stephen Wood<sup>[1]</sup>, Marco Pistoia<sup>[1]</sup>\n", |
| 21 | + "\n", |
| 22 | + "### Affliation\n", |
| 23 | + "- <sup>[1]</sup>IBMQ" |
| 24 | + ] |
| 25 | + }, |
| 26 | + { |
| 27 | + "cell_type": "markdown", |
| 28 | + "metadata": {}, |
| 29 | + "source": [ |
| 30 | + "In this notebook we provide an overview of Qiskit Finance tutorials and tutorials from other domains which might be relevant in finance.\n", |
| 31 | + "\n", |
| 32 | + "#### Machine Learning:\n", |
| 33 | + "- <a href=\"machine_learning/qgan_option_pricing.ipynb\">Quantum Generative Adversarial Networks (qGANs) for data loading in option pricing</a>\n", |
| 34 | + "\n", |
| 35 | + "#### Optimization:\n", |
| 36 | + "- <a href=\"optimization/portfolio_optimization.ipynb\">Portfolio Optimization</a>\n", |
| 37 | + "- <a href=\"optimization/portfolio_diversification.ipynb\">Portfolio Diversification</a>\n", |
| 38 | + " \n", |
| 39 | + "#### Simulation:\n", |
| 40 | + "- <a href=\"simulation/option_pricing.ipynb\">Option Pricing</a>\n", |
| 41 | + "- <a href=\"simulation/credit_risk_analysis.ipynb\">Credit Risk Analysis</a>\n", |
| 42 | + "- <a href=\"simulation/fixed_income_pricing.ipynb\">Fixed Income Pricing</a>\n", |
| 43 | + "\n", |
| 44 | + "#### Data Providers:\n", |
| 45 | + "- <a href=\"data_providers/time_series.ipynb\">Stock Market Time Series</a>" |
| 46 | + ] |
| 47 | + }, |
| 48 | + { |
| 49 | + "cell_type": "code", |
| 50 | + "execution_count": null, |
| 51 | + "metadata": {}, |
| 52 | + "outputs": [], |
| 53 | + "source": [] |
| 54 | + } |
| 55 | + ], |
| 56 | + "metadata": { |
| 57 | + "kernelspec": { |
| 58 | + "display_name": "qiskit_master", |
| 59 | + "language": "python", |
| 60 | + "name": "qiskit_master" |
| 61 | + }, |
| 62 | + "language_info": { |
| 63 | + "codemirror_mode": { |
| 64 | + "name": "ipython", |
| 65 | + "version": 3 |
| 66 | + }, |
| 67 | + "file_extension": ".py", |
| 68 | + "mimetype": "text/x-python", |
| 69 | + "name": "python", |
| 70 | + "nbconvert_exporter": "python", |
| 71 | + "pygments_lexer": "ipython3", |
| 72 | + "version": "3.6.1" |
| 73 | + } |
| 74 | + }, |
| 75 | + "nbformat": 4, |
| 76 | + "nbformat_minor": 2 |
| 77 | +} |
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