What we're actually doing here
We started bond-linkspot in 2022 because the existing financial analysis training felt disconnected from what people actually need to do at work. Most courses dump theory and expect you to figure out the application yourself. That didn't make sense to us.
Our workshops focus on the specific tasks you'll encounter when analyzing company financials or evaluating investment opportunities. We work through actual financial statements, build models together, and troubleshoot the messy data issues that textbooks conveniently ignore.
How we approach teaching
Financial analysis involves a lot of specific skills that need practice in realistic scenarios. Here's how we structure our workshops to help you develop those capabilities.
Real financial data
We use actual company filings and market data in our exercises. You'll work with the same messy, incomplete information you'll encounter in real analysis situations.
- 10-K and 10-Q documents from public companies
- Historical price data with gaps and anomalies
- Varying reporting standards across industries
- Incomplete disclosure scenarios
Step-by-step progression
Each workshop breaks down complex analysis tasks into specific steps. You complete one component, verify your results, then move to the next level of complexity.
- Individual ratio calculations before full models
- Single period analysis before trend analysis
- Basic adjustments before complex normalizations
- Gradual introduction of industry-specific factors
Practical collaboration
Financial analysis rarely happens in isolation. Our workshops include peer review exercises and group problem-solving that mirror actual workplace dynamics.
- Review and critique each other's models
- Discuss different interpretation approaches
- Identify errors in sample analyses
- Build consensus on ambiguous data points
What makes our method different
Most financial analysis courses follow the same pattern: lectures on theory, then assignments where you're expected to apply everything you just heard. The gap between those two stages is where people struggle. We designed our workshops to minimize that gap by embedding practice directly into the learning process.
Learn by analyzing, not by listening
You spend most of each workshop actually performing analysis tasks. When you calculate a debt-to-equity ratio, you're working with a real balance sheet where you need to decide how to classify hybrid securities. When you build a discounted cash flow model, you're making assumptions about growth rates using historical data that doesn't follow a clean pattern.
This approach surfaces the practical questions you'll face: How do you handle one-time charges? What do you do when companies use different fiscal year ends? How much weight should you give to management guidance versus historical performance?
1Start with a specific task
Each exercise begins with a clear objective: calculate working capital, build a comparable company analysis, or assess credit risk using specific metrics.
2Work through the data
You extract the numbers, make necessary adjustments, and document your assumptions. The data won't be perfect—that's intentional.
3Review and iterate
Compare your analysis with provided benchmarks and peer work. Identify where your approach diverged and understand why different methods produce different results.
Who builds these workshops
Our team includes people who've worked in equity research, corporate finance, and credit analysis. We design workshops based on the skills we actually used in those roles.
Henrik Løvdal
Henrik spent eight years as an equity analyst covering industrial companies. He structures our workshops around the specific analysis workflows he used when evaluating investment opportunities and writing research reports.
Katja Dimitrova
Katja worked in credit risk assessment for a regional bank before joining us. She focuses on making sure our exercises reflect the actual decision frameworks and data constraints that analysts deal with daily.
Our priorities when designing content
We make specific choices about how to structure workshops and what to emphasize. These priorities guide those decisions and help us stay focused on practical skill development.
Realistic complexity
Real financial statements don't come with clean data and obvious answers. Our exercises include the complications you'll actually encounter: non-standard accounting treatments, missing information, and situations where reasonable analysts might reach different conclusions.
- Financial statements with unusual line items requiring interpretation
- Companies mid-transition between accounting standards
- Disclosure that's technically compliant but not particularly helpful
- Scenarios where you need to make judgment calls with imperfect information
Incremental skill building
You can't build a complete financial model before you understand how to calculate and interpret individual ratios. Our workshops break complex tasks into component skills and let you master each piece before combining them.
- Calculate metrics individually before building integrated models
- Analyze single companies before doing comparative analysis
- Work with straightforward cases before tackling edge cases
- Practice with guidance before working independently
Transparent methodology
When we show you how to analyze something, we explain why we're using that particular approach and what alternatives exist. Financial analysis involves choices, and you need to understand the implications of different methods.
- Show multiple valuation approaches and when each is appropriate
- Explain the trade-offs between different adjustment techniques
- Discuss why certain metrics matter more in specific industries
- Document assumptions and their impact on conclusions
Applicable immediately
Everything in our workshops connects directly to tasks you'll perform in financial analysis roles. We don't include theoretical concepts unless they inform practical decisions, and we focus on skills that translate across different analysis contexts.
- Build the same types of models used in actual analysis work
- Practice interpreting results in business context
- Learn to communicate findings clearly and support conclusions
- Develop workflows that remain useful as complexity increases
Results from participants
Since we launched in 2022, we've worked with analysts, finance professionals, and students building practical skills in financial analysis. The workshop format lets people apply concepts immediately and build confidence through repeated practice with real scenarios.
Participants typically complete 12-15 full analysis exercises during a workshop series, working through progressively complex scenarios. They build working models, interpret actual financial statements, and practice the specific tasks they'll encounter in financial analysis roles.
Workshop participants across all programs
Countries represented in our student base
Complete the full workshop series
See how our workshops are structured
Look at the complete workshop format, review sample exercises, and see what you'll actually build during the program.