Home

Hi, Welcome to dimasmukhlas.com; I want to introduce you to my newest project, preset to researchers. Happy to have you here!

Without further ado, enjoy my newest daily podcast! However, we will directly discuss a very hot economic topic nowadays! And well, it's my interest as well! Macroprudential policy!

Preset is a common word used in design. That means the designer uses the previous knowledge and work to catalyze their next work. The question is, can we have preset in the research? The answer is yes. And I will show you how.

24 Shares 4 Comments

Preset-example

How to prepare panel data in Stata

26 Aug 2023, by Dimas Widiantoro

This is maybe my first milestone in making a preset. It was the night that I wanted to remind myself in the future. How I prepare panel data. It has become a phenomenon where so many people watch it and feel helped with it. So I am so proud to put it as my first preset.

424 Shares 4 Comments

Preset-example

How to deal with unbalanced panel data

23 Aug 2023, by by Dimas Widiantoro

One of the biggest pains in the research test is if it has unbalanced data. Unbalance data means That the data for each variable or time is unequal. It can create errors, such as biased results and anomalies. Therefore in this preset, I will show how to deal with it.

24 Shares 4 Comments

Preset-example

How to use if expression in Stata

26 Aug 2023, by Dimas Widiantoro

If expression is one of the strongest expressions in programming or coding. This if expression can also be used to deal with specific criteria we want to find. Find how to use the if expression in Stata.

424 Shares 4 Comments

Econ

Empirical-research

How Resilient Emerging Economies

10 Oct- 2022, by Didier et al., rewrote by Dimas Mukhlas

Being resilient is one of the trademarks of Emerging economies during the Global Financial crisis. Emerging economies have shown their strength by keeping positive GDP growth and can converge the GDP growth trajectories to the pre-crisis rate. Find out also how and why in the article.

24 Shares 4 Comments

Empirical-research

The Effectiveness of Macroprudential Policy in Indonesia's housing sector

10 Aug- 2022, by Dimas Mukhlas Widiantoro

I wrote this article with Prof. Marek Dąbrowski. We utilize the Structural Vector Auto regression to see whether the LTV shock affects and can mitigate the inflationary movement of housing prices in Indonesia.

424 Shares 4 Comments

Trip

Traveler

Traveling with kids

10 Aug- 2019, by Eric Joan

Carpe diem - we work for travel or travel to work, the question as old as work for eating or otherwise. Well, work needs travel to boost and have a relaxed moment. Just to be more productive. Check our recommendation about places to visit for your energy boost.

424 Shares 4 Comments

Traveler

Playground

10 Aug- 2015, by Eric Joan

We are the citizens of the world. However, we also come from and raise in a different country. Every nation has its uniqueness, and as Dwight Howard said, we live for learning. Therefore it is better to learn and get some advantage for knowing the countries in the world that we living.

424 Shares 4 Comments

More News »

Hobbies

Traveler

YOLO

10 Aug- 2019, by Eric Joan

424 Shares 4 Comments

Traveler

Do what excited you

10 Aug- 2015, by Eric Joan

424 Shares 4 Comments

More News »

Tips

Traveler

Economic tips

10 Aug- 2019, by Eric Joan

424 Shares 4 Comments

Traveler

Parenting

10 Aug- 2015, by Eric Joan

424 Shares 4 Comments

More News »

The title is How to give a content feel to your day!

And below is one of my conference talks.

View this post on Instagram

Alhamdulilah, thank you God the webinar event is going smooth and awesome! Thanks @smartfrenbusiness for the collaboration and all teachers and students who attended the event! 🙏🏽

A post shared by Dimaso Tjitrodimedjo (@dimasmukhlas) on Jul 16, 2020 at 12:28am PDT

As you have already arrived here. You already got my name, yep it's Dimas Mukhlas. I am a startup enthusiast that has a full-time job as a father and a husband. I love writing, especially if the topic triggered my interest. My interests are in

Machine learning
Food
Traveling
Stock Market
SEO
Community building
Apps
Coworking space
Bee Gees
Basketball
Parenting
Skoda
Drawing or sketching

Outside of that, I would not have the idea to talk about.

Once again. Welcome to my site and enjoy the content!

Best

Dimas Mukhlas Widiantoro

Find me on Linkedin

What else

Traveler

Interested

10 Aug- 2019, by Eric Joan

Carpe diem - we work for travel or travel to work, the question as old as work for eating or otherwise. Well, work needs travel to boost and have relaxed moment. Just to be more productive. Check our recommendation about places to visit for your energy boost.

424 Shares 4 Comments

Traveller

Yo

10 Aug- 2015, by Eric Joan

We are the citizen of the world. However, we also come from and raise in a different country. Every nation has its uniqueness, and as Dwight Howard said, we live for learning. Therefore it better to learn and get some advantage for knowing the countries in the world that we living.

424 Shares 4 Comments

More News »

News

Some notes about python and Zen of Python

Recent news

Explore Python syntax

Python is a flexible programming language used in a wide range of fields, including software development, machine learning, and data analysis. Python is one of the most popular programming languages for data professionals, so getting familiar with its fundamental syntax and semantics will be useful for your future career. In this reading, you will learn about Python’s syntax and semantics, as well as where to find resources to further your learning.

Understanding Tier 1 Capital, common equeity tier 1 Capital, and risk weighted asset through asking the right question

Recent news

Week 1 to week 6 in learning VAR

Recent news

Week 1: Introduction to Time Series Analysis

Overview of Time Series Data:

python

# Load necessary libraries import pandas as pd import matplotlib.pyplot as plt # Load and visualize time series data data = pd.read_csv('your_time_series_data.csv') plt.figure(figsize=(10, 6)) plt.plot(data['Date'], data['Value']) plt.title('Time Series Data') plt.xlabel('Date') plt.ylabel('Value') plt.show()

Time Series Components:

python

# Decomposition of time series data from statsmodels.tsa.seasonal import seasonal_decompose result = seasonal_decompose(data['Value'], model='additive', period=12) result.plot() plt.show()

Statistical Properties of Time Series:

python

# Stationarity check using Augmented Dickey-Fuller test from statsmodels.tsa.stattools import adfuller result = adfuller(data['Value']) print('ADF Statistic:', result[0]) print('p-value:', result[1]) print('Critical Values:', result[4])

Week 2: Fundamentals of Vector Autoregression (VAR)

Introduction to VAR Model:

python

# Import VAR model from statsmodels from statsmodels.tsa.vector_ar.var_model import VAR # Create VAR model model = VAR(data)

Estimation and Interpretation:

python

# Fit the VAR model results = model.fit() # Summary of the VAR model print(results.summary())

Granger Causality and Lag Selection:

python

# Granger causality test from statsmodels.tsa.stattools import grangercausalitytests max_lag = 4 # maximum lag to test causality granger_test_result = grangercausalitytests(data, max_lag)

Week 3: Implementing VAR in Python

Building a VAR Model in Python:

python

# Implementing VAR model using statsmodels library model = VAR(data) results = model.fit(maxlags=4) # fitting the model with selected maximum lag

Visualization and Forecasting with VAR:

python

# Plotting results and visualizing time series forecasts results.plot_forecast(10)

Implementing Impulse Response Analysis:

python

# Impulse Response Analysis irf = results.irf(10) irf.plot(orth=False)

This breakdown provides code snippets for key concepts covered in the weekly plan. For the complete course, you would expand upon these snippets, incorporate explanations, provide datasets, and encourage students to apply these techniques to various time series datasets and financial data, ensuring they understand the theory and practical implementation of VAR models in Python.

Home

Hi, Welcome to dimasmukhlas.com; I want to introduce you to my newest project, preset to researchers. Happy to have you here!

How Resilient Emerging Economies

Explore Python syntax

3 days, 23 hours ago

2 weeks, 5 days ago

Week 1: Introduction to Time Series Analysis

Overview of Time Series Data:

Time Series Components:

Statistical Properties of Time Series:

Week 2: Fundamentals of Vector Autoregression (VAR)

Introduction to VAR Model:

Estimation and Interpretation:

Granger Causality and Lag Selection:

Week 3: Implementing VAR in Python

Building a VAR Model in Python:

Visualization and Forecasting with VAR:

Implementing Impulse Response Analysis:

3 weeks, 3 days ago

3 weeks, 3 days ago

3 weeks, 5 days ago

3 weeks, 5 days ago

3 weeks, 5 days ago

3 weeks, 5 days ago