A Financial Market Entry Decision Model for International Construction Business Using Real Option Analysis and Monte Carlo Simulation

2010 ◽  
Author(s):  
Du Yon Kim ◽  
Seung Heon Han ◽  
Baabak Ashuri
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Financial Market ◽  
Market Entry ◽  
Decision Model ◽  
Real Option ◽  
Real Option Analysis ◽  
International Construction ◽  
Entry Decision

scholarly journals Changes in the Portfolio Management and Construction under the Pandemic Era

2021 ◽  
Vol 275 ◽  
pp. 01005
Author(s):  
Ruipeng Tan
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Stock Returns ◽  
Financial Market ◽  
Portfolio Management ◽  
Portfolio Construction ◽  
Sample Data ◽  
Before And After ◽  
Reduce Risk ◽  
The Impact

This paper focuses on comparing portfolio management and construction before and after the coronavirus. First, this paper presents the importance of building up portfolios for investors to diversify their risks. Theories on portfolio management are discussed in this section to show how they have been developed to help on investing and reduce risk. Then, the paper moves on to show the impact of the pandemic on the financial market and portfolio management. Sample data on tech stock returns are collected to perform a Monte Carlo simulation on portfolio construction to find out the efficient portfolio before and after the COVID-19 outbreak. The efficient portfolio is build based on the Markowitz theory to find the combination. Comparisons between these portfolio constructions are made to find out the changes in portfolio management and construction under the pandemic era. In conclusion, this paper presents how pandemic has changed and impacted the investments and lists recommendations on future portfolio management and construction.

Bibliometric analysis of research in international construction

2016 ◽  
Vol 43 (4) ◽  
pp. 304-311 ◽  
Author(s):  
Selin Gundes ◽  
Guzin Aydogan
Keyword(s):  
Bibliometric Analysis ◽  
Market Entry ◽  
Research Performance ◽  
Foreign Market ◽  
Foreign Market Entry ◽  
General Strategy ◽  
Document Type ◽  
International Construction ◽  
Subject Categories ◽  
Entry Decision

There has been increasing interest in international construction since the late 1990s due to growing competition in global markets. A bibliometric analysis of international construction research is conducted to evaluate the trends and to map the productivity in the field. Using the Scopus database from 2003 to 2013; document type, research performance of leading journals and authors, geographic and institutional distribution of research is assessed. The core and sub topics of the literature is also analyzed to determine critical themes in international construction. Results reveal that (1) risk management, (2) measuring performance, (3) general strategy and (or) competitiveness, and (4) foreign market entry decision are the top four core themes in international construction research. The fluctuations in the number of papers in different subject categories reflect the new tendency in international construction debate, which emphasizes a shift from measuring performance themes to general strategy and (or) competitiveness and foreign market entry decision in international construction.

scholarly journals Comparison of the Datar-Mathews Method and the Fuzzy Pay-Off Method through Numerical Results

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Mariia Kozlova ◽  
Mikael Collan ◽  
Pasi Luukka
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Model ◽  
Real Option ◽  
Fuzzy Numbers ◽  
Numerical Results ◽  
Option Valuation ◽  
The Real ◽  
Valuation Methods ◽  
Real Option Valuation

The paper compares numerically the results from two real option valuation methods, the Datar-Mathews method and the fuzzy pay-off method. Datar-Mathews method is based on using Monte Carlo simulation within a probabilistic valuation framework, while the fuzzy pay-off method relies on modeling the real option valuation by using fuzzy numbers in a possibilistic space. The results show that real option valuation results from the two methods seem to be consistent with each other. The fuzzy pay-off method is more robust and is also usable when not enough information is available for a construction of a simulation model.

scholarly journals QUANTITATIVE DECISION MAKING IN LAND BANKING: A MONTE CARLO SIMULATION FOR CHINA'S REAL ESTATE DEVELOPERS

2012 ◽  
Vol 16 (4) ◽  
pp. 355-369 ◽  
Author(s):  
Haijun Bao ◽  
Alain Yee-Loong Chong ◽  
Hongdi Wang ◽  
Liyuan Wang ◽  
Yikun Huang
Keyword(s):  
Decision Making ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Real Estate ◽  
Decision Model ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Land Banking ◽  
Future Developments

The real estate industry is one of the fast growing industries in many developing countries such as China and India. The Chinese real estate industry has gone through many reforms from offering housing as part of its social welfare system, to the current capitalist model based on demand and supply. Due to these reforms and the shortage of lands for development in China's urban cities, many Chinese property firms have resorted to land banking in order to secure land property for future developments. However, in China, land speculation is considered illegal, while failure to purchase the suitable land for future developments will hinder the real estate developers’ future business and growth. The purpose of this paper is to develop a decision making model for property developments in their land banking decisions and strategies. The paper employed mathematical modeling and Monte Carlo simulation to examine our decision model, and further validated our results by conducting the simulation by using China Vanke Co. Ltd as a case study. This study is one of the first few studies that develop a decision model for land banking in China. It also helps real estate enterprises to make rational and dynamic decision in the current dynamic property market.

ENHANCING INTERNET NETWORK RELIABILITY WITH INTEGRATED FRAMEWORK OF MULTI-OBJECTIVE GENETIC ALGORITHM AND MONTE CARLO SIMULATION

2008 ◽  
Vol 25 (06) ◽  
pp. 837-846 ◽  
Author(s):  
JONG-RYUL KIM ◽  
DOHOON KIM
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Decision Model ◽  
Network Reliability ◽  
Virtual Link ◽  
Multi Objective ◽  
Link State ◽  
Operational Costs ◽  
Multi Objective Genetic Algorithm ◽  
Routing Performance

This paper presents a combined framework of Multi-Objective Generic Algorithm (MOGA) and Monte Carlo Simulation (MCS) in order to improve backbone topology by leveraging the Virtual Link (VL) system in an hierarchical Link-State (LS) routing domain. Given that the sound backbone topology structure has a great impact on the overall routing performance in a hierarchical LS domain, the importance of this research is evident. The proposed decision model is to find an optimal configuration of VLs that properly meets two-pronged engineering goals in installing and maintaining VLs: i.e., operational costs and network reliability. The experiment results clearly indicates that it is essential to the effective operations of hierarchical LS routing domain to consider not only engineering aspects but also specific benefits from systematical layout of VLs, thereby presenting the validity of the decision model and MOGA with MCS.

Electron Scattering in Solids

1990 ◽  
Vol 48 (2) ◽  
pp. 4-5
Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Angular Distribution ◽  
Elastic Scattering ◽  
Electron Scattering ◽  
Cross Sections ◽  
Expansion Method ◽  
Electron Excitation ◽  
Partial Wave Expansion ◽  
Backscattered Electrons

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.

Sign in / Sign up

Export Citation Format

Share Document