Comparisons

Arithmetic vs Logarithmic Returns

Arithmetic vs log returns decision matrix: time aggregation, cross-asset aggregation, compounding, and which return definition to use when.

6 CRITERIA

Calmar vs MAR Ratio

Calmar vs MAR ratio decision matrix: lookback window, drawdown denominator, track-record length, and which return-to-drawdown metric to report.

6 CRITERIA

Dollar-Cost Averaging vs Lump-Sum Investing

Dollar-cost averaging vs lump-sum decision matrix: expected return, regret risk, time in market, and which cash-deployment strategy fits.

6 CRITERIA

Fixed vs Trailing Stops

Fixed vs trailing stop-loss decision matrix: profit protection, whipsaw risk, trend capture, and which exit rule fits trend or mean reversion.

6 CRITERIA

Full Revaluation vs Delta-Gamma VaR

Full revaluation vs delta-gamma decision matrix for option VaR: nonlinear-payoff accuracy, compute cost, and which approximation to use.

6 CRITERIA

Historical vs Parametric VaR

Historical vs parametric VaR decision matrix: distribution assumptions, fat-tail handling, speed, and which estimation method fits your book.

6 CRITERIA

Max Drawdown vs Ulcer Index

Max drawdown vs Ulcer Index decision matrix: single worst loss versus sustained pain, sensitivity to one event, and which drawdown metric to report.

6 CRITERIA

Mean-Variance vs Risk-Parity Allocation

Mean-variance vs risk-parity decision matrix: return-forecast dependence, estimation error, leverage, and which method to allocate with.

6 CRITERIA

Monte Carlo vs Historical VaR

Monte Carlo vs historical VaR decision matrix: model dependence, nonlinear payoffs, scenario coverage, and which simulation method to trust.

6 CRITERIA

Realized vs Implied Volatility

Realized vs implied volatility decision matrix: backward versus forward looking, the variance risk premium, what each measures, and which to use when.

6 CRITERIA

Sharpe Ratio vs Sortino Ratio

A decision matrix comparing the Sharpe and Sortino ratios: what each penalizes, when they diverge, their assumptions, and which to report for a given return profile.

6 CRITERIA

Value-Weighted vs Equal-Weighted Index

Value-weighted vs equal-weighted index decision matrix: concentration, factor tilts, rebalancing cost, and which weighting to benchmark with.

6 CRITERIA

VaR vs CVaR (Expected Shortfall)

VaR vs CVaR decision matrix: what each measures, tail sensitivity, coherence, regulatory status, and which risk number to report for a fat-tailed book.

6 CRITERIA

Block Bootstrap vs IID Bootstrap

Block bootstrap vs IID bootstrap decision matrix: serial correlation, volatility clustering, block length, and which resampling fits returns.

6 CRITERIA

GBM vs Jump-Diffusion Price Models

GBM vs jump-diffusion decision matrix for synthetic prices: tail behavior, gap risk, calibration cost, and which process to simulate for backtests.

6 CRITERIA

In-Sample vs Out-of-Sample Testing

In-sample vs out-of-sample decision matrix: what each measures, optimism bias, overfitting detection, and how to split backtest data honestly.

6 CRITERIA

Paper vs Live Trading

Paper vs live trading decision matrix: fill realism, slippage, latency, psychology, and what a paper account proves before risking real capital.

6 CRITERIA

Simple vs Exponential Moving Average

SMA vs EMA decision matrix: lag, responsiveness, weighting of recent data, drop-off artifacts, and which moving average fits a signal or smoothing task.

6 CRITERIA

Walk-Forward vs K-Fold Cross-Validation

A decision matrix comparing walk-forward analysis and k-fold cross-validation for financial backtesting: leakage, regime handling, data efficiency, and when each fits.

6 CRITERIA

Brier Score vs Log Loss

Brier score vs log loss decision matrix for scoring probabilistic forecasts: penalty shape, sensitivity to confident errors, and which to use.

6 CRITERIA

Cohen's Kappa vs ICC for Agreement

Cohen's kappa vs intraclass correlation decision matrix: categorical versus continuous ratings, chance correction, rater count, and which to use.

6 CRITERIA

Cosine vs Euclidean Similarity

Cosine vs Euclidean distance decision matrix for embeddings: magnitude sensitivity, normalization, and which metric to use for vector search.

6 CRITERIA

Embedding vs BM25 Retrieval

Embedding vs BM25 retrieval decision matrix for financial RAG: semantic recall, exact-term matching, cost, and which retriever for filings.

6 CRITERIA

Greedy vs Beam Search Decoding

Greedy vs beam search decoding decision matrix for LLM extraction: determinism, sequence quality, cost, and which decoder to use for output.

6 CRITERIA

JSON Mode vs Tool Calling for Extraction

JSON mode vs tool calling decision matrix for structured LLM extraction: schema enforcement, validity guarantees, multi-field control, and which to use.

6 CRITERIA

Platt vs Temperature Scaling

Platt vs temperature scaling decision matrix for confidence calibration: parameters fit, multiclass behavior, and when each one fits best.

6 CRITERIA

Point Estimate vs Prediction Interval

Point estimate vs prediction interval decision matrix: single number versus quantified uncertainty, calibration, and which to report when.

6 CRITERIA

Self-Consistency vs Single-Pass Inference

Self-consistency vs single-pass decision matrix for LLM tasks: reasoning accuracy, cost multiplier, and when sampling-and-voting pays off.

6 CRITERIA

Semantic vs Recursive Chunking

Semantic vs recursive chunking decision matrix for filing RAG: boundary quality, cost, determinism, and which splitting strategy to use.

6 CRITERIA

Zero-Shot vs Few-Shot Extraction

Zero-shot vs few-shot prompting decision matrix for filing extraction: accuracy, token cost, format control, and which approach to choose.

6 CRITERIA