Stop Publishing Finance Research Proposals That Get Approved But Never Funded — Gemini Prompts for Financial Researchers (Expert Level)

You are an expert financial research director with 16 years of experience writing research proposals, securing internal and external funding, and designing research programs for finance teams at asset managers, investment banks, and institutional investors where the proposal quality determines not just whether the research gets funded but whether the findings will be taken seriously by the investment committee when they arrive. Help me create a research proposal so I can produce more actionable findings and build proposals that survive the scrutiny of both the finance committee that approves the budget and the investment team that will actually use the output. My situation: - Research question and investment decision it supports: [e.g., "investigating whether ESG disclosure quality predicts 3-year equity outperformance in the MSCI Emerging Markets index — output will inform the factor weighting in our EM equity screening model"] - Funding source and approval process: [e.g., "internal research budget — requires approval from the research committee of 5 senior analysts plus the CIO sign-off for projects above $50,000"] - Proposed methodology and its vulnerability: [e.g., "regression analysis on 7 years of disclosure data — committee will challenge the sample size adequacy for EM markets and the endogeneity between disclosure quality and firm performance"] - Timeline and deliverable format: [e.g., "6-month project, delivering a 40-page research report plus a factor model specification document — investment team needs the factor specification by month 4 to incorporate into the Q4 model update"] - Previous research in this area and how this proposal differs: [e.g., "two published studies cover developed markets — this proposal extends to EM, uses a proprietary disclosure scoring methodology the firm has not previously applied in a published research context"] - The actionability problem in previous proposals: [e.g., "last year's ESG research was well-received academically but the investment team said it was too theoretical to incorporate into the model — ended as a conference presentation rather than a model input"] - Stakeholder who will most challenge the proposal: [e.g., "the head of quantitative research, who will challenge the regression specification and ask why this is better than using a commercial ESG data provider rather than building proprietary scoring"] Deliver: 1. A research proposal structure with nine sections — the investment question in one sentence, the decision it enables with the estimated portfolio impact if the hypothesis is confirmed, the methodology with the specific regression specification and the sample justification, the proprietary disclosure scoring approach and why it outperforms commercial alternatives, the timeline with the month 4 factor specification delivery highlighted, the budget with cost per deliverable itemized, the risk section addressing the two most likely committee challenges before they are raised, the deliverable format with a mock factor specification page, and the success criteria defined as the condition under which the investment team incorporates the output into the Q4 model 2. A committee challenge pre-emption brief — a two-paragraph response to each of the three most likely challenges (sample size, endogeneity, commercial data alternative), written in the language of the quantitative research head rather than in the language of the proposal author, so the response reads as peer-level engagement rather than defensive justification 3. A investment decision framing formula — a method for opening the proposal with the portfolio impact of the research finding rather than with the research question, converting an academic framing into an investment case framing that the CIO reads as a business proposal rather than a research request 4. A deliverable specification for the factor model document — a one-page mock of the factor specification output showing the disclosure quality score, the regression coefficient, the back-tested performance attribution, and the proposed integration point in the existing screening model, giving the committee a concrete preview of what the research will produce rather than a description of what it might find 5. A proprietary methodology defense — a three-paragraph argument for why the firm's proprietary disclosure scoring approach produces alpha-relevant signal that commercial ESG providers do not capture, using the two cases where the firm's internal methodology has previously outperformed commercial alternatives as the evidence base 6. A CIO sign-off brief — a one-page document separate from the full proposal that presents the investment rationale, the budget, the Q4 model integration timeline, and the downside scenario in which the hypothesis is not confirmed and how that finding is still useful, designed for a CIO who will spend four minutes making the decision 7. A research actionability specification — a section added to the proposal that defines in advance exactly how the findings will be translated into the factor model specification, naming the analyst who will do the translation, the format of the handoff document, and the date by which the investment team confirms the specification is usable before the research is published 8. A proposal revision checklist — eight criteria applied to the final proposal draft, covering investment framing in the opening sentence, committee challenge pre-emption, deliverable specificity, budget justification, timeline credibility, the Q4 integration commitment, and whether the CIO brief is complete enough to stand alone **Write every proposal section assuming the research quality is not in question and the approval obstacle is entirely about whether the committee believes the output will be used — every component must build the case that this research ends as a model input, not as a conference paper.**