找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Big Data in Finance; Opportunities and Ch Thomas Walker,Frederick Davis,Tyler Schwartz Book 2022 The Editor(s) (if applicable) and The Auth

[復(fù)制鏈接]
樓主: 召集會議
41#
發(fā)表于 2025-3-28 14:48:13 | 只看該作者
Radioactive Decay and Rock Ages,mely useful in building dynamic and stochastic banking models along with other predictive analytics. This chapter illustrates both the methodology and practical steps for determining the feasibility of a new financial institution in a heavily regulated financial sector of a G8 country. More specific
42#
發(fā)表于 2025-3-28 22:22:04 | 只看該作者
,Earthquakes and Earth’s Structure, mining was responsible for approximately 43 million metric tons of carbon in 2020 (the equivalent to 0.14% of the global total yearly carbon emissions in that year). Using an impulse-response analysis, we also find that the impact of one standard deviation shock in Bitcoin‘s trading volume on the n
43#
發(fā)表于 2025-3-29 03:00:15 | 只看該作者
Spatial-Positioning Technology,ortance of financial confidence as a driver for behavioral outcomes among learners, as well as population-level heterogeneities involved in financial knowledge, confidence, and behavior. We draw on these insights to recommend to policymakers and educators how to design and derive value from similar
44#
發(fā)表于 2025-3-29 04:29:05 | 只看該作者
45#
發(fā)表于 2025-3-29 10:39:17 | 只看該作者
Book 2022ld of finance. While the general use of big data has been the subject of frequent discussions, this book will take a more focused look at big data applications in the financial sector. With contributions from researchers, practitioners, and entrepreneurs involved at the forefront of big data in fina
46#
發(fā)表于 2025-3-29 12:52:06 | 只看該作者
47#
發(fā)表于 2025-3-29 19:34:41 | 只看該作者
48#
發(fā)表于 2025-3-29 21:29:07 | 只看該作者
https://doi.org/10.1007/978-3-030-63696-8res the motivations behind these changes, discusses the significant evolution in data and analytics that enable the development of new credit quality indicators, and highlights the privacy and ethical challenges of using new and emerging credit assessments in the age of big data.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 11:49
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
荆门市| 普洱| 北海市| 湘阴县| 和田市| 平昌县| 榆林市| 安平县| 太和县| 遵义市| 武冈市| 宣威市| 林州市| 邵武市| 晋城| 措美县| 道真| 新津县| 丹阳市| 汽车| 瑞丽市| 信宜市| 望江县| 九江市| 双江| 丁青县| 临汾市| 黄平县| 额尔古纳市| 清原| 白玉县| 会昌县| 和政县| 淮安市| 铜陵市| 杨浦区| 加查县| 嵊泗县| 长武县| 黑河市| 噶尔县|