找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Forecasting Models for the German Office Market; Alexander B?nner Book 2009 Gabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden

[復(fù)制鏈接]
查看: 28252|回復(fù): 39
樓主
發(fā)表于 2025-3-21 19:05:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Forecasting Models for the German Office Market
編輯Alexander B?nner
視頻videohttp://file.papertrans.cn/346/345290/345290.mp4
圖書(shū)封面Titlebook: Forecasting Models for the German Office Market;  Alexander B?nner Book 2009 Gabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden
描述This work is motivated by the research gap evident in the area of forecasting models for the German office market. Since rent, price or yield forecasting research is mainly done by commercially oriented organizations, this work delivers an examination from a scientific point of view. Thus the focus is set on an empirical investigation of several rent and total yield forecasting models for nine major German cities. Their applicability and performance are analyzed and city as well as forecasting horiz- specific patterns are determined and interpreted. After the literature review, mainly covering Anglo-Saxon research, I derive the theoretical foundations which are important in executing the empirical part of the work. Therefore, I discuss theoretically general real estate market characteristics, the specifics of time series and panel data, common forecasting models, and forecasting techniques as well as performance measures. The major findings of the first part of the empirical work, which contains the rent series investigation, is that ARIMA, GARCH and multivariate regression models are generally able to forecast rent series in the German office market. Furthermore, I observed that G
出版日期Book 2009
關(guān)鍵詞ARIMA; Forcasting Models; GARCH; Immobilien; Real Estate; Real Estate Finance
版次1
doihttps://doi.org/10.1007/978-3-8349-9402-8
isbn_softcover978-3-8349-1525-2
isbn_ebook978-3-8349-9402-8
copyrightGabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2009
The information of publication is updating

書(shū)目名稱(chēng)Forecasting Models for the German Office Market影響因子(影響力)




書(shū)目名稱(chēng)Forecasting Models for the German Office Market影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Forecasting Models for the German Office Market網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Forecasting Models for the German Office Market網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Forecasting Models for the German Office Market被引頻次




書(shū)目名稱(chēng)Forecasting Models for the German Office Market被引頻次學(xué)科排名




書(shū)目名稱(chēng)Forecasting Models for the German Office Market年度引用




書(shū)目名稱(chēng)Forecasting Models for the German Office Market年度引用學(xué)科排名




書(shū)目名稱(chēng)Forecasting Models for the German Office Market讀者反饋




書(shū)目名稱(chēng)Forecasting Models for the German Office Market讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:43:04 | 只看該作者
第145290主題貼--第2樓 (沙發(fā))
板凳
發(fā)表于 2025-3-22 02:22:20 | 只看該作者
板凳
地板
發(fā)表于 2025-3-22 06:30:04 | 只看該作者
第4樓
5#
發(fā)表于 2025-3-22 09:09:22 | 只看該作者
5樓
6#
發(fā)表于 2025-3-22 15:57:09 | 只看該作者
6樓
7#
發(fā)表于 2025-3-22 18:09:37 | 只看該作者
7樓
8#
發(fā)表于 2025-3-23 01:15:15 | 只看該作者
8樓
9#
發(fā)表于 2025-3-23 02:15:31 | 只看該作者
9樓
10#
發(fā)表于 2025-3-23 07:13:31 | 只看該作者
10樓
 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(ài)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(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-4 23:27
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
丹阳市| 津市市| 专栏| 封开县| 杭锦旗| 德清县| 鞍山市| 和静县| 个旧市| 湘西| 宜阳县| 龙泉市| 广河县| 丰城市| 革吉县| 临沧市| 安新县| 增城市| 漯河市| 高安市| 含山县| 石泉县| 通许县| 宾川县| 祁门县| 交口县| 常山县| 鹿邑县| 建阳市| 固镇县| 利川市| 江门市| 巨野县| 普安县| 明星| 原平市| 牡丹江市| 南和县| 依安县| 许昌县| 新乐市|