Financial Analysis Questions Answered

We get it. Advanced financial analysis can feel overwhelming when you're trying to make sense of complex market data and risk models. Let's walk through the questions we hear most often from professionals working in Thailand's financial sector.

Find Answers Based on Your Situation

Different professionals face different challenges. Whether you're analyzing market trends, building risk models, or interpreting financial statements, we've organized answers around real scenarios we encounter working with Bangkok-based financial teams.

Starting with Data Analysis

If you're new to quantitative methods, start with our foundation courses covering statistical analysis and Excel modeling. We typically recommend beginning in September 2025 with cohorts designed for working professionals who need flexible evening sessions.

Building Risk Models

Already comfortable with basic analysis but want to master risk assessment? Our intermediate track focuses on portfolio theory, VaR calculations, and stress testing. Most participants join after completing foundation modules or bringing equivalent work experience.

Advanced Valuation Techniques

Looking to refine DCF models or explore real options analysis? These specialized modules assume strong financial knowledge and focus on practical application. We run intensive workshops quarterly, with the next session scheduled for October 2025.

Time Commitment Questions

Most programs require 6-8 hours weekly including coursework and practice exercises. Evening sessions run Tuesday and Thursday from 7-9 PM Bangkok time. Weekend workshops are available for intensive topics like Python for finance or advanced Excel techniques.

Corporate Training Programs

Teams of 5+ can arrange customized training focused on your organization's specific needs. We've worked with investment firms, banks, and corporate finance departments across Bangkok. Programs typically span 3-6 months with flexible scheduling around your team's availability.

Certification and Credentials

We issue completion certificates for individual modules and comprehensive program completion. While we can't offer CFA or FRM equivalency, many participants use our coursework as practical preparation. Our focus is on applied skills you'll actually use in financial analysis roles.

Questions About Our Teaching Approach

People often ask what makes our programs different. Honestly, it comes down to who's teaching and how we structure learning around actual financial work. Here's what you should know about our team and methods.

Instructor with experience in equity research and portfolio management

Iris Nakamura

Lead Instructor, Quantitative Methods

Iris spent twelve years building quantitative models for a Bangkok investment firm before shifting to education in 2023. She teaches our risk analysis and portfolio optimization modules, bringing real trading desk experience to technical concepts that can otherwise feel abstract.

Corporate finance professional specializing in valuation analysis

Marcus Lindstrom

Valuation Specialist

Marcus handles our DCF modeling and company valuation programs. After working on M&A deals across Southeast Asia for nearly a decade, he knows which analytical shortcuts work in practice and which textbook methods need adjustment for emerging markets like Thailand.

Financial data analyst with expertise in alternative data sources

Keiko Watanabe

Data Analytics Lead

Keiko joined us in early 2024 after working with alternative data in hedge fund research. She designed our Python for finance curriculum and teaches data visualization techniques. Her background helps students understand how to extract meaningful insights from messy financial datasets.

Technical Requirements and Learning Environment

We get asked constantly about software, hardware, and what you actually need before starting. The short answer: less than you probably think. Our programs work with standard business laptops and commonly available financial tools.

Most analytical work happens in Excel initially. As you progress, we introduce Python libraries like pandas and numpy, but we provide cloud-based environments so installation headaches don't become barriers. Bloomberg Terminal access helps but isn't required since we use public market data for teaching exercises.

  • Standard Windows or Mac laptop with 8GB RAM handles all coursework comfortably
  • Excel 2016 or later works fine; we teach shortcuts for both PC and Mac versions
  • Python modules use Google Colab initially so you don't need local installation
  • Video sessions use Zoom; recorded lectures stay accessible through your program period
  • Discussion forums and assignment submissions happen through our learning platform
  • Practice datasets cover Thai equities, regional bonds, and currency pairs you'll actually encounter
Professional financial analysis workspace showing practical application of analytical methods
Close-up view of financial modeling techniques in practice

Still Have Questions?

We're here to help figure out which program fits your background and goals. Email us at info@shocknetly.com or call +66 2 835 3737 to discuss your specific situation. Our next cohort starts in September 2025, and we're currently answering questions about autumn enrollment.

Get In Touch