How Subjective Judgment Committees Affect Resolution Prediction

Executive Summary

In the world of prediction markets, resolution prediction based on subjective judgment committees plays a crucial role in determining outcomes and associated risks. This deep dive explores the impact of these committees on resolution prediction, risk scoring, and pricing strategies, providing practical code examples using the SettleRisk API.

Core Concept

Subjective judgment committees are formed to resolve ambiguous outcomes in prediction markets. The members of these committees use their expertise to interpret event details and make a final decision, which can lead to varying degrees of resolution risk. The SettleRisk API quantifies this risk using a scoring system from 0 to 100, categorized into LOW, MEDIUM, HIGH, and CRITICAL tiers.

| Tier | Score Range | Description | |------|------------|-------------| | LOW | 0-20 | Minimal risk | | MEDIUM | 20-50 | Moderate risk | | HIGH | 50-75 | High risk | | CRITICAL | 75-100 | Severe risk |

Worked Example

Let's consider an example where a prediction market event revolves around a political decision that has ambiguous language. The subjective judgment committee will play a pivotal role in interpreting this ambiguity.

Python SDK Example:

from settlerisk import SettleRiskClient

# Initialize the client
client = SettleRiskClient(api_key="YOUR_API_KEY")

# Fetch the risk score for a specific market
market_id = "POLITICS-123"  # Example market ID
risk_score = client.get_risk_score(market_id)

print(f"Risk Score: {risk_score}")

TypeScript SDK Example:

import { SettleRiskClient } from "settlerisk";

// Initialize the client
const client = new SettleRiskClient("YOUR_API_KEY");

// Fetch the risk score for a specific market
const marketId = "POLITICS-123"; // Example market ID
client.getRiskScore(marketId).then(riskScore => {
    console.log(`Risk Score: ${riskScore}`);
});

Implementation Notes

When implementing the SettleRisk API, consider the following:

1. API Key Security: Ensure that your API key is stored securely and not hardcoded in your source code.
2. Error Handling: Implement robust error handling to manage API limits, network issues, and data inconsistencies.
3. Resolution Delay Modeling: Utilize the lognormal distribution provided by SettleRisk to model settlement delays.

Failure Modes

Subjective judgment committees can introduce several failure modes:

1. Bias: Committee members may have personal biases that influence their decision-making.
2. Misinterpretation: Ambiguity in event details can lead to misinterpretations, affecting the resolution.
3. Timeliness: Delays in committee decisions can impact market liquidity and pricing.

Checklist

Before relying on subjective judgment committees for resolution prediction:

• Verify the composition and credentials of committee members.
• Assess the historical accuracy and consistency of committee decisions.
• Model potential resolution outcomes using the SettleRisk API to understand associated risks.

Sources + Further Reading

For a deeper understanding of subjective judgment committees and their impact on resolution prediction, explore the following resources:

• SettleRisk Methodology: Learn more about how SettleRisk calculates resolution risk scores.
• Pricing Engine Explained: Understand how the SettleRisk pricing engine uses risk scores to determine fair spreads and capital lockup costs.
• Resolution Risk Calculator: Explore tools for assessing resolution risk based on committee decisions.

By understanding the role of subjective judgment committees and leveraging the SettleRisk API, you can make informed decisions and manage risks effectively in prediction markets.