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mercari Books, Magazines & Manga Books Business/Economics
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Advances in financial machine learning
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2026-02-15 11:02:52
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Advances in financial machine learning

『Advances in Financial Machine Learning(アドバンシズ・イン・ファイナンシャル・マシンラーニング)』

本書は、機械学習を金融市場の実践的な分析・運用に応用するための最先端の理論と手法を体系的に解説した専門書です。金融データの特性に根ざした課題(ノイズ、非定常性、サンプルの相関など)に対する機械学習の適用を、従来の統計的アプローチと比較しながら丁寧に説明します。

著者マルコ・ロピーノは、クオンツ/ヘッジファンド業界出身の研究者であり、実務で培われた洞察を基に、従来の機械学習手法をそのまま金融データに適用することの問題点と、改善されたアルゴリズム・フレームワークを提示します。特に学習データの品質管理、バックテストのバイアス除去、目標関数や特徴量設計の工夫といったテーマに重点を置いています。

本書で扱われる主要なトピックは次のとおりです:
•金融時系列データと機械学習
 相関・ノイズ・非線形性といった金融データ特有の性質に対する理解
•ウォークフォワード最適化およびアウトオブサンプル評価
 過学習を避けるためのモデル評価手法
•特徴量エンジニアリングとデータ構造
 金融市場データに適した特徴量の生成とその検証
•ラベリング手法(Triple Barrier Method など)
 機械学習向けに取引ラベルを付与する革新的アプローチ
•ポートフォリオ構築とリスク調整
 機械学習モデルの予測力を実運用へ活かすための最適化戦略

金融工学・データサイエンス・クオンツ投資の交差点に位置するこの書籍は、理論と実装の両面から深い洞察を提供し、プロのデータサイエンティストおよびクオンツ・リサーチャーにとっての必携書となっています。

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