- 无标题文档
查看论文信息

中文题名:

 基于实物期权的房价波动与房地产政策、经济波动相关性研究    

姓名:

 贺豪楠    

学号:

 20061212287    

保密级别:

 公开    

论文语种:

 chi    

学科代码:

 0202    

学科名称:

 经济学 - 应用经济学    

学生类型:

 硕士    

学位:

 经济学硕士    

学校:

 西安电子科技大学    

院系:

 经济与管理学院    

专业:

 应用经济学    

研究方向:

 房地产经济    

第一导师姓名:

 杨蓬勃    

第一导师单位:

  西安电子科技大学    

完成日期:

 2023-06-12    

答辩日期:

 2023-05-25    

外文题名:

 Research on the Correlation between House Real Estate Policy, Economic Fluctuation and Price Fluctuation Based on Real Options    

中文关键词:

 实物期权 ; 房价波动 ; 经济波动 ; 房地产政策    

外文关键词:

 Real option ; House price fluctuation ; Economic fluctuation ; Real estate policy    

中文摘要:

房地产市场与经济周期密切相关,稳定房地产对于稳定经济至关重要。由于新冠疫情,经济面临需求收缩、供给冲击等压力。房地产是国民经济的支柱产业,开发周期漫长,房价波动面临居多不确定性的影响,影响国民经济的稳定。稳定房地产市场和稳定房价波动对于稳预期、强信心、稳增长和经济高质量发展具有重大意义。

本文搜集国内外文献,厘清房价波动与房地产政策、经济波动相关性,需要考虑三个关键点,其一经济周期波动会刺激房价波动,激励国家进行房地产政策调控冲击,将导致新的房价波动。其二房地产政策调控冲击和房价波动传导过程可能会导致房价波动被低估,实物期权理论分析具有必要性。其三房地产政策、房价波动和经济波动存在复杂的关系。鉴于此,首先通过整理房地产政策,并进行整理赋值,将赋值的结果与房价波动进行对比分析。其次分析房地产开发全过程中各环节决策行为的实物期权特征。再次基于求解隐含波动率的二分法原理,设计编写基于Python语言的求解程序,测算得到房价波动率表示房价波动。最后基于测算所得的房价波动率,探析影响房价波动率的房地产政策因素和研究房价波动率与房地产政策、经济波动的相关性。

基于理论分析和实证模型分析的结果,本文得出四个结论:

(1)证实了市场统计所得的房价波动被低估了,实物期权测算得到的房价波动相较于统计所得的房价波动,能更加切实的反映现实中房价波动对经济波动的影响。

(2)房地产政策越密集,房价的波动越大。2006年到2011年之间,房地产政策使用密集,对于房价的波动影响较大,该时间段内房价的波动剧烈。

(3)政策工具选择的越平均,房价的波动越小。在2004年之前,土地政策使用较多,政策使用单一,促使房价的波动较大,在2017年之后货币政策与土地政策以及税收和综合性政策使用较为平均,房价的波动较小。

(4)经济波动引起房地产政策调控进而影响房价波动,房价波动又通过传导平抑经济波动。首先由于经济波动剧烈,为调控宏观经济,政府制定房地产政策,房地产政策出台又引起房价波动,通过房价波动平抑作用,达到政府稳定经济波动的目标。

(5)通过测算所得房价波动率识别房价波动的影响因素,发现货币超发、二手房交易税率、房企负债率和房企土地购置面积是房价波动的重要推动力。

本文提出关于稳定房价波动的建议:一方面,政府规范房地产政策发布,促进房地产政策的连续性和稳定性。着重从货币角度、税收因素、土地因素和市场因素四个方面出发稳定房价波动。另一方面,房地产开发商提升政策信息敏感度,做好市场调研,保持理性态度和现金流稳定,同时做好保交楼和物业维护服务,保障购房者信心。

外文摘要:

The real estate market is closely related to the economic cycle, and stabilizing real estate is very important for stabilizing the economy. Due to the COVID-19 epidemic, the economy is under pressure from demand contraction and supply shock. Real estate is a pillar industry of the national economy, with a long development cycle. The fluctuation of house prices is affected by many uncertainties, which affects the stability of the national economy. Stabilizing the real estate market and stabilizing the fluctuation of house prices are of great significance for stabilizing expectations, strengthening confidence, stabilizing growth and high-quality economic development.

In this paper, we need to consider three key points to collect domestic and foreign literature and clarify the correlation between housing price fluctuation and real estate policy and economic fluctuation. First, economic cycle fluctuation will stimulate housing price fluctuation, stimulate the country to carry out the impact of real estate policy regulation, and will lead to new housing price fluctuation. Secondly, the impact of real estate policy regulation and the transmission process of house price fluctuation may lead to the underestimation of house price fluctuation, so it is necessary to analyze the real option theory. Thirdly, there is a complex relationship among real estate policy, house price fluctuation and economic fluctuation. In view of this, first of all, through sorting out the real estate policy and sorting out the assignment, the result of the assignment is compared with the fluctuation of house prices. Secondly, it analyzes the real option characteristics of decision-making behavior in all aspects of real estate development. Thirdly, based on the dichotomy principle of solving implied volatility, a solution program based on Python language is designed and written to measure the volatility of house prices to represent the fluctuation of house prices. Finally, based on the measured house price volatility, this paper analyzes the real estate policy factors that affect house price volatility and studies the correlation between house price volatility and real estate policy and economic fluctuations.

Based on the results of theoretical analysis and empirical model analysis, this paper draws four conclusions:

it is confirmed that the fluctuation of house price obtained from market statistics is underestimated. Compared with the fluctuation of house price obtained from statistics, the fluctuation of house price calculated by real options can more effectively reflect the influence of house price fluctuation on economic fluctuation in reality.

the more intensive the real estate policy, the greater the fluctuation of house prices. From 2006 to 2011, the intensive use of real estate policies had a great impact on the fluctuation of house prices, and the fluctuation of house prices was fierce during this period.

the more average the choice of policy tools, the smaller the fluctuation of house prices. Before 2004, the use of land policy was more and the use of policy was single, which made the house price fluctuate greatly. After 2017, the use of monetary policy and land policy, as well as taxation and comprehensive policy, was more even, and the house price fluctuated less.

economic fluctuations cause real estate policy regulation and control, which in turn affects house price fluctuations, which in turn stabilizes economic fluctuations through transmission. First of all, due to the drastic economic fluctuations, the government has formulated real estate policies to regulate the macro-economy, and the introduction of real estate policies has caused house price fluctuations, so as to achieve the government's goal of stabilizing economic fluctuations through the calming effect of house price fluctuations.

Identify the influencing factors of house price fluctuation by measuring the fluctuation rate of house price, and find that excessive currency, tax rate of second-hand housing transactions, debt ratio of housing enterprises and land acquisition area of housing enterprises are the important driving forces of house price fluctuation.

On the one hand, the government standardizes the release of real estate policies to promote the continuity and stability of real estate policies. Focus on stabilizing house price fluctuations from four aspects: currency, tax, land and market factors. On the other hand, real estate developers should enhance the sensitivity of policy information, do a good job in market research, maintain a rational attitude and stable cash flow, and at the same time do a good job in ensuring the delivery of buildings and property maintenance services to ensure the confidence of buyers.

参考文献:
[1]Benjamin J, Coulson N, & Yang, S. (2005). Real estate transfer taxes and property values: The Philadelphia story. The Journal of Real Estate Finance and Economics, 7(2), 151-157.
[2]Madsen J B. Taxes and the fundamental value of houses[J]. Regional Science & Urban Economics, 2009, 39(3): 365-376.
[3]Muellbauer J, Murphy A. Booms and Busts in the UK Housing Market[J]. The Economic Journal, 1996, 107(445).
[4]Eunkyung, Kwon. Monetary Policy, Land Prices, and Collateral Effects on Economic Fluctuations: Evidence from Japan[J]. Journal of the Japanese & International Economies, 1998.
[5]Lum S K. Market fundamentals, public policy and private gain: house price dynamics in Singapore[J]. Journal of Property Research, 2002, 19.
[6]McCarthy, Jonathan, Peach, et al. MONETARY POLICY TRANSMISSION TO RESIDENTIAL INVESTMENT.[J]. Economic Policy Review, 2002.
[7]Giuliodori M. THE ROLE OF HOUSE PRICES IN THE MONETARY TRANSMISSION MECHANISM ACROSS EUROPEAN COUNTRIES[J]. Scottish Journal of Political Economy, 2010,52.
[8]Sommer K, Sullivan P, Verbrugge R. The equilibrium effect of fundamentals on house prices and rents[J]. Journal of Monetary Economics, 2013, 60(7): 854-870.
[9]Myers S C. Determinants of corporate borrowing[J]. Journal of Financial Economics, 1977, 5(2): 147-175.
[10]Titman, S. Urban land prices under uncertainty[J], American Economic Review, 1985, 75, (3): 505-514.
[11]Dani Rodrik, Policy uncertainty and private investment in developing countries, Journal of Development Economics, Volume 36, Issue 2, 1991.
[12]Dixit R K, Pindyck R S. Investment under Uncertainty[J]. Princeton University Press, 1994.
[13]Amram M, Kulatilaka N. Real Options: Managing Strategic Investment in an Uncertain World[J]. 1999.
[14]Bulan L, Mayer C, Somerville C T. Irreversible Investment, Real Options, and Competition: Evidence from Real Estate Development[J]. Journal of Urban Economics, 2009, 65(3): 237-251.
[15]Cunningham C R. House price uncertainty, timing of development, and vacant land prices: Evidence for real options in Seattle[J]. Journal of Urban Economics, 2006, 59(1): 1-31.
[16]Joseph T, Williams. Real estate development as an option[J]. The Journal of Real Estate Finance and Economics, 1991, 4(2): 191-208.
[17]Quigg L. Empirical Testing of Real Option‐Pricing Models[J]. Blackwell Publishing Ltd, 1993(2).
[18]Kulatilaka K N. Options Thinking and Platform Investments: Investing in Opportunity[J]. California Management Review, 1994, 36(2): 52-71.
[19]Kelly M A. Faster Implied Volatilities via the Implicit Function Theorem[J]. Financial Review, 2010, 41(4).
[20]Engelhardt G V. House prices and home owner saving behavior[J]. North-Holland, 1996.
[21]Coulson N E, Kim M . Residential Investment, Non-residential Investment and GDP[J]. Real Estate Economics, 2000, 28(2): 233-247.
[22]Yoshikawa HOhtaka F. An analysis of female labor supply, housing demand and the saving rate in Japan[J]. European Economic Review, 2006, 33(5): 997-1023.
[23]Sousa R M. Financial Wealth, Housing Wealth, and Consumption[J]. International Research Journal of Finance & Economics, 2008, 19.
[24]Bayoumi T A, Edison H. Is Wealth Increasingly Driving Consuption?[J]. DNB Staff Reports (discontinued), 2003.
[25]Matteo Iacoviello & Stefano Neri, 2008. "Housing market spillovers: evidence from an estimated DSGE model," Working Paper Research 145, National Bank of Belgium.
[26]Cooper, Daniel, Dynan, et al. Wealth Shocks and Macroeconomic Dynamics.[J]. Research Review, 2013(19): 13-18.
[27]Black, Jane et al. “House prices, the supply of collateral and the enterprise economy.”The Economic Journal 106 (1996): 60-75.
[28]Jie Gan. Collateral, debt capacity, and corporate investment: Evidence from a natural experiment[J]. Journal of Financial Economics, 2006, 85(3): 709-734.
[29]Thomas Chaney and David Sraer and David Thesmar. The Collateral Channel: How Real Estate Shocks Affect Corporate Investment[J]. The American Economic Review, 2012, 102(6): 2381-2409.
[30]沈悦, 刘洪玉. 住宅价格与经济基本面: 1995—2002年中国14城市的实证研究[J]. 经济研究, 2004(06): 78-86.
[31]周京奎. 货币政策、银行贷款与住宅价格—对中国4个直辖市的实证研究[J]. 财贸经济, 2005(05): 22-27. DOI:10.19795/j.cnki.cn11-1166/f.2005.05.005.
[32]梁云芳, 高铁梅. 中国房地产价格波动区域差异的实证分析[J]. 经济研究, 2007(08): 133-142.
[33]王爱俭, 沈庆劼. 购买力平价与均衡汇率:人民币汇率错位测算理论的比较[J]. 经济学动态, 2007(2): 4.
[34]王睿. 房地产税收政策调控房价影响效果评析[D]. 复旦大学, 2008.
[35]陈超, 柳子君, 肖辉. 从供给视角看我国房地产市场的“两难困境”[J]. 金融研究, 2011(01): 73-93.
[36]乔坤元. 住房限购令真的起作用了吗?——来自中国70大中城市的证据[J]. 经济与管理研究, 2012(12): 10.
[37]邹琳华, 高波, 赵奉军. 投资需求扩张、房价上涨与住房限购——一个基于大国政策的准自然实验[J]. 城市发展研究, 2014, 21(06): 53-58.
[38]张凌, 朱丽妃. 限购政策对杭州新建商品住宅价格的影响——基于断点回归的经验研究[J]. 浙江大学学报(理学版), 2022, 49(05): 623-632.
[39]高佳卿, 刘胜军, 康力立, 李汉铃. 资本投资的期权理论与方法[J]. 经济理论与经济管理, 1998(02): 42-44.
[40]廖理, 汪毅慧. 实物期权理论与企业价值评估[J]. 数量经济技术经济研究, 2001, (03): 98-101.
[41]张维, 安瑛晖. 期权定价理论在企业项目投资估价中的应用[J]. 石家庄经济学院学报, 2001, (03): 247-252.
[42]项盛辉, 何芳. 实物期权方法在房地产开发中的应用——用B-S模型计算等待期权的价值[J]. 建筑管理现代化, 2002(02): 43-46.
[43]李进涛, 朱佳林, 郭志涛. 实物期权理论在房地产投资决策中的应用[J]. 华中科技大学学报(城市科学版), 2003, (02): 91-94.
[44]张金明, 刘洪玉. 实物期权与土地开发决策模型[J]. 土木工程学报, 2004, (05): 92-95.
[45]任培民, 赵树然, 刘成义. 基于GARCH-KMV模型的高科技企业实物期权波动率研究[J]. 金融经济, 2017, (18): 79-80.
[46]朱凯, 朱菲菲, 杨云红. 土地定价机制研究: 最优开发策略选择[J]. 经济科学, 2017(05): 65-77. DOI:10.19523/j.jjkx.2017.05.005.
[47]唐建伟. 股票与房地产价格变化对消费的影响[J]. 上海金融学院学报, 2004(01): 48-51.
[48]刘建江, 杨玉娟, 袁冬梅. 从消费函数理论看房地产财富效应的作用机制[J]. 消费经济, 2005(02): 93-96.
[49]李政. 房产价格的财富效应是否存在?——基于中国的面板数据[J]. 河南金融管理干部学院学报, 2009, 27(03): 20-24.
[50]王子龙, 许箫迪. 房地产市场广义虚拟财富效应测度研究[J]. 中国工业经济, 2011(03): 15-25. DOI:10.19581/j.cnki.ciejournal.2011.03.002.
[51]梁琪, 郭娜, 郝项超. 房地产市场财富效应及其影响因素研究——基于我国省际面板数据的分析[J]. 经济社会体制比较, 2011(05): 179-184.
[52]赵杨, 张屹山, 赵文胜. 房地产市场与居民消费、经济增长之间的关系研究——基于1994-2011年房地产市场财富效应的实证分析[J]. 经济科学, 2011(06): 30-41. DOI:10.19523/j.jjkx.2011.06.004.
[53]李剑, 臧旭恒. 住房价格波动与中国城镇居民消费行为——基于2004—2011年省际动态面板数据的分析[J]. 南开经济研究, 2015(01): 89-101. DOI:10.14116/j.nkes.2015.01.006.
[54]刘颜, 周建军. 城市房价上涨促进还是抑制了城镇居民消费?[J]. 消费经济, 2019, 35(01): 49-56.
[55]曾海舰. 房产价值与公司投融资变动—抵押担保渠道效应的中国经验证据[J]. 管理世界, 2012(05): 125-136. DOI:10.19744/j.cnki.11-1235/f.2012.05.010.
[56]罗时空, 周亚虹. 房价影响企业投资吗: 理论与实证[J]. 财经研究, 2013, 39(08): 133-144. DOI:10.16538/j.cnki.jfe.2013.08.005.
[57]陈丽兰, 刘广平. 房价变动对制造业上市公司投资的影响研究[J]. 技术经济与管理研究, 2018(04): 113-117.
[58]张德荣, 郑晓婷. “限购令”是抑制房价上涨的有效政策工具吗?基于70个大中城市的实证研究[J]. 数量经济技术经济研究, 2013, 30(11): 56-72. DOI:10.13653/j.cnki.jqte.2013.11.014.
[59]刘璐. 限贷和限购政策对一般均衡中房价的影响[J]. 管理科学学报, 2013, 16(09): 20-32.
[60]刘洋, 张悦, 朱丽芳. 基于几何布朗运动的房地产价格模拟预测[J]. 统计决策, 2018, 34(9): 86-89.
中图分类号:

 F83    

开放日期:

 2023-12-25    

无标题文档

   建议浏览器: 谷歌 火狐 360请用极速模式,双核浏览器请用极速模式