Why this project exists

From one puzzling decision to a structured approach for understanding perceived financial risk in everyday choices
“The numbers were the same. The decision was not.” That sentence started the project. Different people saw the same chart, yet felt very different levels of financial risk. That gap between numbers and nerves became the core question. The work behind Boaseoruisnaesteigan focuses on how individuals in India actually perceive financial risk, not how theory assumes they should. The team studies why one saver clings to cash while another accepts sharp swings in portfolio value, even when their situations look similar on paper. The aim is not to push any product. The aim is to map the invisible biases that shape choices. Research, field interviews, and analytical reviews feed into practical tools that help people see their own risk perception more clearly. The project serves budget conscious earners, cautious savers, and professionals who advise them. Every framework used is built to be transparent, evidence informed, and updated for current market conditions in India.
team reviewing financial risk perception data
founding team planning research

Founding and first research focus

The project began when repeated client meetings revealed a pattern. Similar financial data. Very different reactions to the idea of changing a portfolio mix. The founding group combined backgrounds in finance, psychology, and data analysis to examine how perceived financial risk was formed. Early work focused on interviews, simple experiments, and careful review of existing behavioral research tailored to Indian conditions.

team designing risk surveys

Building tools to measure perception

After the initial phase, the team created structured interview guides and survey instruments to measure subjective risk perception more consistently. Patterns emerged around past market experiences, family expectations, and news exposure. These findings shaped checklists that advisors and individuals could use before major financial decisions, making the hidden drivers of fear and comfort more visible.

advisor using visual risk tools

Collaboration with practitioners

The next milestone involved working with practitioners who advise budget conscious earners. Their real world cases tested whether the frameworks held up under pressure. Feedback led to simpler visual aids, clearer language, and more practical steps for discussing perceived financial risk without pushing any specific financial product or service.

team reviewing updated methods

Refinement and ongoing updates

Recently, the team has focused on refining methods and documenting a consistent approach. This includes a three step internal framework for reviewing perceived risk, checking emotional triggers, and aligning choices with realistic capacity to absorb loss. The work is updated for 2026 conditions in India, with ongoing monitoring of how news cycles and policy changes influence subjective risk levels.

Team behind the perceived financial risk work

Dr Meera Shah behavioral finance specialist

Dr Meera Shah behavioral finance specialist

Lead researcher and behavioral finance analyst

Arjun Rao applied psychology and decision science

Arjun Rao applied psychology and decision science

Behavioral risk perception consultant

Kavya Iyer quantitative risk perception analyst

Kavya Iyer quantitative risk perception analyst

Data and methodology lead

Rahul Menon financial decision making advisor

Rahul Menon financial decision making advisor

Client insight and practitioner liaison

Ananya Desai field research and interviews

Ananya Desai field research and interviews

Research operations and participant outreach

Siddharth Kulkarni decision tools experience design

Siddharth Kulkarni decision tools experience design

Visual frameworks and tool design

Priya Nair regulatory and ethics oversight

Priya Nair regulatory and ethics oversight

Compliance and ethical review

Vikram Joshi research communication specialist

Vikram Joshi research communication specialist

Insights translation and stakeholder reports

Core values

Each principle acts like a guardrail, keeping perceived financial risk analysis grounded in data, respectful of limits, and transparent about uncertainty for people in India.

01

Scientific rigor

Scientific rigor means that every conclusion about perceived financial risk must rest on more than hunches or a single dramatic story. The team draws on established behavioral research, adapts it carefully to Indian conditions, and tests ideas before recommending any framework. Methods are documented, assumptions are written down, and limitations are acknowledged clearly. Anecdotes are treated as prompts for investigation, not proof. When new data conflicts with earlier views, the earlier view is revised instead of defended. This discipline protects users from advice shaped mainly by fashion, fear, or personal bias. It also supports consistent, repeatable analysis rather than one off impressions that change with every headline.
02

Practical clarity

Accessibility means that insights about perceived financial risk should be understandable without a background in advanced finance or psychology. Complex models are translated into clear language, concrete examples, and simple visuals that a budget conscious reader can relate to everyday decisions. Technical terms are minimized or explained in plain words. The goal is not to simplify reality beyond recognition, but to remove unnecessary barriers that keep people from engaging with their own attitudes toward risk. When a concept cannot be explained clearly, it is reworked until it can be or set aside until better tools exist. This respect for clarity helps individuals make more informed choices without feeling overwhelmed.

03

Ethical conduct

Ethics in financial guidance requires putting the individual’s risk tolerance, capacity, and situation ahead of any product push or personal preference. The project does not promote specific financial instruments or promise particular outcomes. Instead, it focuses on mapping how perceived risk is formed, where it may be distorted, and how that distortion might affect choices. Conflicts of interest are disclosed where relevant, and recommendations are framed as considerations, not instructions. The team avoids exaggerated claims about performance and includes reminders that past performance does not determine future results. This stance protects users from pressure and keeps the focus on informed, balanced decisions.

04

Lasting habits

Long term behavior change is treated as more important than any single decision. Perceived financial risk today is influenced by habits, stories, and experiences built over years. Quick fixes rarely last. The project therefore emphasizes small, repeatable practices such as regular reflection on risk feelings, written decision logs, and structured reviews after major market moves. These habits help individuals notice patterns in their reactions and adjust over time. The aim is not to remove emotion from decisions, but to ensure it does not dominate without being examined. Over the long run, this steady approach supports more stable choices that align with real capacity and goals.
05

Transparent limits

Transparency about uncertainty is central to any honest discussion of financial risk, perceived or measured. No model, checklist, or framework can fully predict future market behaviour or individual reactions. The team makes this clear in its materials and conversations. Scenarios are presented as possibilities, not promises. Language that implies certainty is avoided. Where data is incomplete, that gap is stated openly. Users are reminded that results may vary and that past performance does not guarantee future results. This openness may feel less comforting than bold claims, but it respects the reality of uncertainty and encourages more cautious, thoughtful decision making.

Recognitions, mentions, and practitioner feedback

Year noted

Recognition for research on perceived financial risk

Recognition for early work highlighting how perceived financial risk can diverge sharply from measured volatility, helping advisors frame portfolio choices more responsibly for cautious clients.

Year recorded

Acknowledgement for accessible risk tools

Acknowledgement from a professional network in India for building accessible tools that explain subjective risk assessment without technical jargon while staying faithful to data.

Year referenced

Mention for cross disciplinary collaboration

Mention in a behavioral science community for collaboration across psychology and finance, focusing on how emotions, habits, and context shape responses to the same financial information.

Year documented

Feedback from financial practitioners

Positive feedback from practitioners who used the team’s checklists and visual aids to open more balanced discussions around portfolio changes with budget conscious individuals.

Discuss perceived financial risk

Questions about how perceived financial risk is shaping decisions for a team, client base, or household are serious, not abstract. If a neutral, data informed view could help, a short conversation can clarify whether this project’s frameworks fit the situation. No pressure, only clear next steps.