---
title: "A. Craig MacKinlay og Andrew W. Lo A Non-Random Walk Down Wall Street"
ean: "9780691092560"
brand: "A. Craig MacKinlay og Andrew W. Lo"
category: "Medier > Bøger"
price_min: 359
price_max: 359
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9780691092560/a-non-random-walk-down-wall-street
last_checked: 2026-10-15
---

# A. Craig MacKinlay og Andrew W. Lo A Non-Random Walk Down Wall Street

EAN 9780691092560 · Mærke: A. Craig MacKinlay og Andrew W. Lo · Kategori: Medier > Bøger

Sammenlign priser på A. Craig MacKinlay og Andrew W. Lo A Non-Random Walk Down Wall Street fra 1 forhandler. Billigste pris nu: 359 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9780691092560/a-non-random-walk-down-wall-street

## Priser
- **Billigste pris nu:** 359 kr hos Saxo DK
- **Prisspænd:** 359 kr – 359 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 359 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> For over half a century, financial experts have regarded the movements of markets as a random walk--unpredictable meanderings akin to a drunkard's unsteady gait--and this hypothesis has become a cornerstone of modern financial economics and many investment strategies. Here Andrew W. Lo and A. Craig MacKinlay put the Random Walk Hypothesis to the test. In this volume, which elegantly integrates their most important articles, Lo and MacKinlay find that markets are not completely random after all, and that predictable components do exist in recent stock and bond returns. Their book provides a state-of-the-art account of the techniques for detecting predictabilities and evaluating their statistical and economic significance, and offers a tantalizing glimpse into the financial technologies of the future. The articles track the exciting course of Lo and MacKinlay's research on the predictability of stock prices from their early work on rejecting random walks in short-horizon returns to their analysis of long-term memory in stock market prices. A particular highlight is their now-famous inquiry into the pitfalls of "data-snooping biases" that have arisen from the widespread use of the same historical databases for discovering anomalies and developing seemingly profitable investment strategies. This book invites scholars to reconsider the Random Walk Hypothesis, and, by carefully documenting the presence of predictable components in the stock market, also directs investment professionals toward superior long-term investment returns through disciplined active investment management.

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