This document provides an analysis of rental yields across localities in Bengaluru, India. It finds that rental yields tend to be higher in more affordable localities and for furnished properties compared to unfurnished. Specific localities like Balagere and Electronic City stand out for having higher rental yields of up to 8.5% for 3 BHK properties. The analysis is based on listings data from Housing.com and provides averages and estimates of rental incomes and purchase prices at the locality level.
This document provides a name - Matej Halavuk. No other details are given about this person in the single word document. In summary, the document only contains an individual's name without any other contextual information.
Itinéraires culturels et médias sociaux : outils pour la gouvernance de la...Marta Severo
Cette étude vise à analyser les représentations numériques de la Via Francigena générées par les traces laissées par les utilisateurs des médias sociaux. L’étude a été réalisée dans le cadre du projet PEPS (Projets Exploratoires Premier Soutien) « itinéraires numériques », financé par le CNRS et l’Université de Lille et porté par le laboratoire Geriico de l’Université de Lille 3 en collaboration avec l’Association Européenne de la Via Francigena (AEVF).
A apresentação mostra fotos da cidade de Portalegre durante o Natal. As fotos foram tiradas por Nídia Marques, uma estudante do 3o ano de Jornalismo, como parte de um projeto escolar.
PT. Arif Gunawan Computer adalah perusahaan yang bergerak di bidang produksi dan distribusi barang elektronik dan komputer yang didirikan pada tahun 2025 dan berkantor pusat di Solo serta memiliki cabang di beberapa kota besar Indonesia. Perusahaan ini memproduksi barang-barang rumah tangga seperti lampu dan alat elektronik serta mendistribusikan komputer dan laptop impor, dengan produksi dan penjualan yang terus meningkat seiring kepuasan konsumen
High School Engagement Taskforce - School Board Update 3/21/13ECarverCoSchools
The taskforce was formed to review equity issues between the district's two high schools and make recommendations. It has collected data on enrollment projections, demographics, facilities, athletics participation, and conducted surveys. The data shows the schools differ significantly in diversity, with Chanhassen being less diverse, and free/reduced lunch rates. Most taskforce members feel these differences warrant action. Next steps include considering incentives to balance enrollment, gathering public input, and making recommendations to the school board.
Este documento apresenta uma análise da dinâmica positiva do setor farmacêutico global e brasileiro nos últimos anos. (1) O mercado global de medicamentos deve alcançar US$ 1,3 trilhões até 2018, impulsionado principalmente pelos mercados emergentes. (2) No Brasil, o mercado farmacêutico tem crescido acima do PIB nos últimos anos, apoiado por fatores demográficos e estruturais. (3) A distribuição e o varejo farmacêutico brasileiros também apresentaram forte
This document provides a name - Matej Halavuk. No other details are given about this person in the single word document. In summary, the document only contains an individual's name without any other contextual information.
Itinéraires culturels et médias sociaux : outils pour la gouvernance de la...Marta Severo
Cette étude vise à analyser les représentations numériques de la Via Francigena générées par les traces laissées par les utilisateurs des médias sociaux. L’étude a été réalisée dans le cadre du projet PEPS (Projets Exploratoires Premier Soutien) « itinéraires numériques », financé par le CNRS et l’Université de Lille et porté par le laboratoire Geriico de l’Université de Lille 3 en collaboration avec l’Association Européenne de la Via Francigena (AEVF).
A apresentação mostra fotos da cidade de Portalegre durante o Natal. As fotos foram tiradas por Nídia Marques, uma estudante do 3o ano de Jornalismo, como parte de um projeto escolar.
PT. Arif Gunawan Computer adalah perusahaan yang bergerak di bidang produksi dan distribusi barang elektronik dan komputer yang didirikan pada tahun 2025 dan berkantor pusat di Solo serta memiliki cabang di beberapa kota besar Indonesia. Perusahaan ini memproduksi barang-barang rumah tangga seperti lampu dan alat elektronik serta mendistribusikan komputer dan laptop impor, dengan produksi dan penjualan yang terus meningkat seiring kepuasan konsumen
High School Engagement Taskforce - School Board Update 3/21/13ECarverCoSchools
The taskforce was formed to review equity issues between the district's two high schools and make recommendations. It has collected data on enrollment projections, demographics, facilities, athletics participation, and conducted surveys. The data shows the schools differ significantly in diversity, with Chanhassen being less diverse, and free/reduced lunch rates. Most taskforce members feel these differences warrant action. Next steps include considering incentives to balance enrollment, gathering public input, and making recommendations to the school board.
Este documento apresenta uma análise da dinâmica positiva do setor farmacêutico global e brasileiro nos últimos anos. (1) O mercado global de medicamentos deve alcançar US$ 1,3 trilhões até 2018, impulsionado principalmente pelos mercados emergentes. (2) No Brasil, o mercado farmacêutico tem crescido acima do PIB nos últimos anos, apoiado por fatores demográficos e estruturais. (3) A distribuição e o varejo farmacêutico brasileiros também apresentaram forte
Emily Crawford is a graphic and web designer from Barrie, Ontario with over 10 years of experience in design, photography, and web development. She has proficient skills in programs like Adobe Creative Suite, HTML, CSS, PHP, and MySQL. Emily has a college diploma in digital photography and is currently studying interactive web design and development. She is passionate about creative design and customer service.
Presentazione condivisa con i partecipanti al Webinar con oggetto Il Nuovo Portale Digithera a disposizione dei Partner Intermediari con potenzialità di personalizzazione per essere erogato ai propri Clienti. Una fortunata evoluzione dell'Hub White Label.
The document announces a one-day conference on regenerative medicine to be held on October 15, 2015 at the Texas Medical Center Innovation Institute in Houston. The conference will feature discussions on topics related to regenerative medicine like pluripotency, transdifferentiation, genetic engineering of stem cells, and tissue engineering. Guest speakers will include the president of the Texas Medical Center, researchers from Houston Methodist Research Institute, Texas Heart Institute, UT Health Science Center at Houston, and Texas Children's Hospital. Attendees can register for the conference online.
This document outlines Project Bakunawa which was worked on by Team 18 consisting of Cody Jolin, Ben Thomas, Von Jamora, and Gunther Gallagher. It discusses identifying a problem, criteria and constraints, design ideas, science considerations, a chosen design, the merit of applying a technology transfer, tools used, and their JWST Sunshield tech transfer model.
El relato cuenta la historia de Elmer, un elefante diferente al resto del rebaño porque era de colores. Cansado de ser diferente, Elmer decide pintarse de color gris para parecerse a los demás elefantes, pero al final los elefantes descubren a Elmer y deciden celebrar una fiesta anual donde todos se pintan de colores y Elmer se pinta de gris para festejar su singularidad.
The document analyzes Under Armour's valuation. It finds that while UA has experienced high growth, its growth rates are unsustainable in the competitive sports apparel market. The analysis values UA at $68 per share, lower than the market valuation of $84 per share, due to overestimation of UA's expansion potential internationally and in new products. UA's current growth is driven by women's apparel, footwear, and international markets, but it faces risks from limited brand recognition and dependence on third parties for manufacturing.
The document summarizes financial information for a Brazilian pharmaceutical company for the third quarter of 2016. It reported consolidated gross revenues of R$1.367 billion for the quarter, a 3.7% increase year-over-year. The retail segment saw a 1.9% decrease in EBITDA compared to the previous year. Specialties sales increased 19.9% year-over-year while distribution sales grew 3.0%. The company's net debt to EBITDA ratio was 3.1x for the quarter.
Vladimir Propp studied hundreds of Russian folktales and identified common narrative structures and character types that appear across stories. He observed that narratives are shaped by specific character functions and actions, and identified 31 possible stages or "functions" that stories may include in a fixed sequence, such as a hero, villain, dispatcher, donor, and helper. Todorov also analyzed narrative structure and proposed stories begin with an equilibrium, experience a disruption, and conclude with the restoration of a new equilibrium.
ArthaYantra Buy vs Rent Score (ABRS™) is an effort to seamlessly integrate a consumer's concern vis-a-vis ability to afford buying and renting. It brings objectivity to the decision of renting vs. buying a home.
Buy vs rent 2015 | Buy Vs Rent Report - 8 Cities-2015Artha Yantra
The document provides a summary of a research report that analyzes whether it is better to buy or rent a property in 8 major cities in India. It finds that Bengaluru, Delhi, Mumbai, and Pune have seen large increases in both property prices and rental values in recent years, making renting a better option for most professionals. Hyderabad remains the most affordable city to buy, while Kolkata has become more affordable to both buy and rent. The report uses metrics like cash flow analysis, tax savings, and the income required to afford down payments to determine recommendations for each city.
The National Property Index rose 1% in the Oct-Dec 2014 quarter. Seven of the 11 cities tracked posted a 1-3% rise in their City Index values, with Ahmedabad seeing the largest rise at 3%. Delhi and Mumbai saw a 1% drop. Demand for properties priced between Rs. 20-50 lakhs increased 3%. Active supply declined 2% nationally. Rental returns remained high in Bengaluru, Hyderabad, and Kolkata. Mumbai, Bengaluru, and Pune continued to be the most preferred investment destinations.
ArthaYantra Buy vs. Rent Score (ABRS)-HyderabadArthaYantra
India's first integrated personal financial service company, has commenced one-of-its kind research on Buying a home vs. Renting a home in key metros - Delhi NCR, Mumbai, Bangalore, Hyderabad, Kolkata, Chennai and Pune. The main objective of the research is to quantify the buy vs. rent decision from a personal finance perspective.
Summary of July -2017 Residential Research Report for Bengaluru Idirees Chenakkal
Research Report – The inside story
Redwoods Research’s Mid-Year Residential Research Report for 2017 released in the month of July is a compilation of the general residential market in Bengaluru, and particularly the Supply and Demand scenario to give the reader a better understanding of the same. This report comprehends a cohesive research by the Redwoods team of Research analysts and experts where an intensive on-field thorough research by tracking trends from over 1,496 primary Bengaluru’s residential projects was conducted.
Fundamental figures
Bangalore residential market witnessed a slight escalation in its Weighted Average Capital Value by 2.3% from INR 5,314 per Sq. ft. to INR 5,437 per Sq. ft.
The Bangalore residential market would require 39 Months to offload its Unsold Inventory.
Category wise highlights
Sales Velocity of Residential Apartments and Plots dropped by -16.5% and -24.4% respectively, whereas the Row houses and Villa Developments observed a slight increase in its Sales Velocity by 1% and 09% respectively.
Months Inventory for apartment and plot recorded at 40 and 30 Months respectively.
To know more, contact Mr. Idirees Chenakkal
A sneak peek into Residential Report H1 2016
The real estate residential market in Bengaluru was reluctant to show any progress in the times preceding 2016. It hasn’t revived either in the first half of 2016, it has witnessed a dip in its absorption trend and reached an all-time low Sales Velocity of 1.02%, i.e. a 7.7% decline in the first half of 2016 in comparison to 2015’s second half.
As a negative result of the declining Sales Velocity, Months Inventory is at its highest in the first half of 2016 when compared to the periods following December 2012. An increase of 6.3% is noticed in the Months Inventory of the first half of 2016 when compared to the second half of 2015. The average time required to sell the existing primary residential stock has increased from 31 months in H2 2015 to 33.07 months in H1 2016.
As an outcome of declining Sales Velocity and ever increasing Months Inventory levels, the Average Capital Value of residential development across Bengaluru would have decreased, as a layman would analyze. The truth remains that the average Capital Value remains unchanged in H1 2016 as it remains the same in H2 2015, i.e. INR 5334 per sq. ft.
Bengaluru’s residential market had a net addition of 18,129 units in H1 2016 across developments. This net addition is 40% lower when compared to the net addition of H2 2015, which stood at 29,920 units. Considering the net addition, the total inventory in H1 2016 stood at 125,738 units across developments out of which the incremental sale of 20,169 units (16% of inventory) took place in H1 2016. Incremental Sales in H1 2016 has declined by 17% in comparison to H2 2015.
Apartment development accounts to 81% of incremental sales, whereas Plot, Villa and Row House development sums up to 15.1%, 3.5% and 0.1% respectively of incremental sales in H1 2016.
Apartment development in Bengaluru has a total residential development spread of 399.1 Mn sq. ft. of which unsold inventory stood at 133.1 Mn sq. ft. valuing INR 72,250 crores. The size of unsold inventory of Plot, Villa and Row House stood at 21.8, 17 and 1.5 Mn sq. ft. respectively in H1 2016.
Residential development in its various development forms is spread across Bengaluru- North to South and East to West. The quadrant which witnessed the largest addition to its already existing inventory in H1 2016 is the North-East quadrant. 8,127 units were added to its already existing stock. Also the North-East quadrant performed better than its counterparts in H1 2016 at an incremental sales of 7,569 units i.e. 16.5% sales from the total inventory available. The South-East quadrant follows the North-East quadrant both in terms of large net addition of 7,631 units in H1 2016 and a total incremental sale of 14.7%.
Rental Housing Scenario in India: Barriers and FacilitatorsIRJET Journal
1. The document discusses the rental housing scenario in India, including barriers and facilitators. It notes that rapid urbanization is contributing to a housing shortage in cities.
2. There is a lack of affordable and available housing options, pushing people to live in informal rental accommodations that lack basic services. Formal rental housing policies could help address this issue.
3. The document examines existing rental housing policies and regulations in India, how effective they are, and challenges faced by landlords and tenants. It evaluates the role of private entities in addressing issues in the rental housing sector.
This document discusses the potential for affordable housing in India. It notes that the real estate sector contributes significantly to India's GDP and job growth. While the housing boom from 2005-2008 increased home prices beyond what many could afford, the economic downturn highlighted the need for more affordable options. The document defines affordable housing based on a percentage of income rather than referring only to low-cost projects. It provides examples of potential affordable projects in Kolkata and estimates the size of the affordable housing market. However, it notes developers often locate such projects in distant suburbs without adequate infrastructure. The document calls for government support through subsidized land, improved transportation, and tax incentives to help overcome bottlenecks and facilitate more affordable housing development.
Commercial valuation of property is the prime requirement for investments. Real estate values depend on many elements, such as the present cost of the land, taxation on the lad, the depreciation rates, and others. It is essential that a feasibility analysis be conducted first before the land is invested into. Given this context this report basically attempts to do a feasibility analysis for a property using the Estate Master Feasibility analysis tool. A number of inputs are given based on a case scenario for property. The report attempts to evaluate and critically discusses the real world scenario presented by the Estate master for each of these sets of inputs. A feasibility analysis based on commercial valuation methodology is carried out first, followed by a valuation of the site as is. The residual value is calculated here. The report then calculates the project returns based on the residual values using the Estate Master and in the second part of the report, sensitivity and risks analysis are covered.
This document discusses top residential investment destinations in India from 2013-2017. It outlines the methodology used to select these destinations, which involves picking top cities based on factors like population and business activity, then dividing cities into zones. Zones are analyzed based on current and projected employment growth in driver industries like IT/ITeS. Key destinations are then selected in each zone based on factors like infrastructure development, commute times, and potential price appreciation. The top destinations projected to outperform in terms of investor returns over the next 5 years are identified for various regions across India.
The document outlines the key components to analyze when conducting due diligence on a property acquisition, including rent rolls, financials, building information, and market surveys. Some of the important factors to examine are tenant leases and rent rolls, revenue and expense statements, capital expenditures, property management, permits and approvals, market rents, competition, and local demographics. Thorough analysis of these areas is necessary to validate information and assess the property's performance and market position.
Data Analysis on Home Loan Dataset using PythonShreyas Sinha
This is the complete report which showcases the Data Analysis dome on the Home Loan Dataset. It holds within itself all the aspects right from recent details on the Home Loan market, benefits for the buyers, government policies, univariate, bivariate, linear regression and logistic regression.
Then with the help of statistical analysis I was able to derive insights all of which are again written down in a simple and a chronological order.
Finally after having referred the journals, research papers & the recent news, I have presented the recommendations i.e to be implemented by the Bank so as to increase the sales and the maximize on the growth opportunities that were discovered by the study.
Emily Crawford is a graphic and web designer from Barrie, Ontario with over 10 years of experience in design, photography, and web development. She has proficient skills in programs like Adobe Creative Suite, HTML, CSS, PHP, and MySQL. Emily has a college diploma in digital photography and is currently studying interactive web design and development. She is passionate about creative design and customer service.
Presentazione condivisa con i partecipanti al Webinar con oggetto Il Nuovo Portale Digithera a disposizione dei Partner Intermediari con potenzialità di personalizzazione per essere erogato ai propri Clienti. Una fortunata evoluzione dell'Hub White Label.
The document announces a one-day conference on regenerative medicine to be held on October 15, 2015 at the Texas Medical Center Innovation Institute in Houston. The conference will feature discussions on topics related to regenerative medicine like pluripotency, transdifferentiation, genetic engineering of stem cells, and tissue engineering. Guest speakers will include the president of the Texas Medical Center, researchers from Houston Methodist Research Institute, Texas Heart Institute, UT Health Science Center at Houston, and Texas Children's Hospital. Attendees can register for the conference online.
This document outlines Project Bakunawa which was worked on by Team 18 consisting of Cody Jolin, Ben Thomas, Von Jamora, and Gunther Gallagher. It discusses identifying a problem, criteria and constraints, design ideas, science considerations, a chosen design, the merit of applying a technology transfer, tools used, and their JWST Sunshield tech transfer model.
El relato cuenta la historia de Elmer, un elefante diferente al resto del rebaño porque era de colores. Cansado de ser diferente, Elmer decide pintarse de color gris para parecerse a los demás elefantes, pero al final los elefantes descubren a Elmer y deciden celebrar una fiesta anual donde todos se pintan de colores y Elmer se pinta de gris para festejar su singularidad.
The document analyzes Under Armour's valuation. It finds that while UA has experienced high growth, its growth rates are unsustainable in the competitive sports apparel market. The analysis values UA at $68 per share, lower than the market valuation of $84 per share, due to overestimation of UA's expansion potential internationally and in new products. UA's current growth is driven by women's apparel, footwear, and international markets, but it faces risks from limited brand recognition and dependence on third parties for manufacturing.
The document summarizes financial information for a Brazilian pharmaceutical company for the third quarter of 2016. It reported consolidated gross revenues of R$1.367 billion for the quarter, a 3.7% increase year-over-year. The retail segment saw a 1.9% decrease in EBITDA compared to the previous year. Specialties sales increased 19.9% year-over-year while distribution sales grew 3.0%. The company's net debt to EBITDA ratio was 3.1x for the quarter.
Vladimir Propp studied hundreds of Russian folktales and identified common narrative structures and character types that appear across stories. He observed that narratives are shaped by specific character functions and actions, and identified 31 possible stages or "functions" that stories may include in a fixed sequence, such as a hero, villain, dispatcher, donor, and helper. Todorov also analyzed narrative structure and proposed stories begin with an equilibrium, experience a disruption, and conclude with the restoration of a new equilibrium.
ArthaYantra Buy vs Rent Score (ABRS™) is an effort to seamlessly integrate a consumer's concern vis-a-vis ability to afford buying and renting. It brings objectivity to the decision of renting vs. buying a home.
Buy vs rent 2015 | Buy Vs Rent Report - 8 Cities-2015Artha Yantra
The document provides a summary of a research report that analyzes whether it is better to buy or rent a property in 8 major cities in India. It finds that Bengaluru, Delhi, Mumbai, and Pune have seen large increases in both property prices and rental values in recent years, making renting a better option for most professionals. Hyderabad remains the most affordable city to buy, while Kolkata has become more affordable to both buy and rent. The report uses metrics like cash flow analysis, tax savings, and the income required to afford down payments to determine recommendations for each city.
The National Property Index rose 1% in the Oct-Dec 2014 quarter. Seven of the 11 cities tracked posted a 1-3% rise in their City Index values, with Ahmedabad seeing the largest rise at 3%. Delhi and Mumbai saw a 1% drop. Demand for properties priced between Rs. 20-50 lakhs increased 3%. Active supply declined 2% nationally. Rental returns remained high in Bengaluru, Hyderabad, and Kolkata. Mumbai, Bengaluru, and Pune continued to be the most preferred investment destinations.
ArthaYantra Buy vs. Rent Score (ABRS)-HyderabadArthaYantra
India's first integrated personal financial service company, has commenced one-of-its kind research on Buying a home vs. Renting a home in key metros - Delhi NCR, Mumbai, Bangalore, Hyderabad, Kolkata, Chennai and Pune. The main objective of the research is to quantify the buy vs. rent decision from a personal finance perspective.
Summary of July -2017 Residential Research Report for Bengaluru Idirees Chenakkal
Research Report – The inside story
Redwoods Research’s Mid-Year Residential Research Report for 2017 released in the month of July is a compilation of the general residential market in Bengaluru, and particularly the Supply and Demand scenario to give the reader a better understanding of the same. This report comprehends a cohesive research by the Redwoods team of Research analysts and experts where an intensive on-field thorough research by tracking trends from over 1,496 primary Bengaluru’s residential projects was conducted.
Fundamental figures
Bangalore residential market witnessed a slight escalation in its Weighted Average Capital Value by 2.3% from INR 5,314 per Sq. ft. to INR 5,437 per Sq. ft.
The Bangalore residential market would require 39 Months to offload its Unsold Inventory.
Category wise highlights
Sales Velocity of Residential Apartments and Plots dropped by -16.5% and -24.4% respectively, whereas the Row houses and Villa Developments observed a slight increase in its Sales Velocity by 1% and 09% respectively.
Months Inventory for apartment and plot recorded at 40 and 30 Months respectively.
To know more, contact Mr. Idirees Chenakkal
A sneak peek into Residential Report H1 2016
The real estate residential market in Bengaluru was reluctant to show any progress in the times preceding 2016. It hasn’t revived either in the first half of 2016, it has witnessed a dip in its absorption trend and reached an all-time low Sales Velocity of 1.02%, i.e. a 7.7% decline in the first half of 2016 in comparison to 2015’s second half.
As a negative result of the declining Sales Velocity, Months Inventory is at its highest in the first half of 2016 when compared to the periods following December 2012. An increase of 6.3% is noticed in the Months Inventory of the first half of 2016 when compared to the second half of 2015. The average time required to sell the existing primary residential stock has increased from 31 months in H2 2015 to 33.07 months in H1 2016.
As an outcome of declining Sales Velocity and ever increasing Months Inventory levels, the Average Capital Value of residential development across Bengaluru would have decreased, as a layman would analyze. The truth remains that the average Capital Value remains unchanged in H1 2016 as it remains the same in H2 2015, i.e. INR 5334 per sq. ft.
Bengaluru’s residential market had a net addition of 18,129 units in H1 2016 across developments. This net addition is 40% lower when compared to the net addition of H2 2015, which stood at 29,920 units. Considering the net addition, the total inventory in H1 2016 stood at 125,738 units across developments out of which the incremental sale of 20,169 units (16% of inventory) took place in H1 2016. Incremental Sales in H1 2016 has declined by 17% in comparison to H2 2015.
Apartment development accounts to 81% of incremental sales, whereas Plot, Villa and Row House development sums up to 15.1%, 3.5% and 0.1% respectively of incremental sales in H1 2016.
Apartment development in Bengaluru has a total residential development spread of 399.1 Mn sq. ft. of which unsold inventory stood at 133.1 Mn sq. ft. valuing INR 72,250 crores. The size of unsold inventory of Plot, Villa and Row House stood at 21.8, 17 and 1.5 Mn sq. ft. respectively in H1 2016.
Residential development in its various development forms is spread across Bengaluru- North to South and East to West. The quadrant which witnessed the largest addition to its already existing inventory in H1 2016 is the North-East quadrant. 8,127 units were added to its already existing stock. Also the North-East quadrant performed better than its counterparts in H1 2016 at an incremental sales of 7,569 units i.e. 16.5% sales from the total inventory available. The South-East quadrant follows the North-East quadrant both in terms of large net addition of 7,631 units in H1 2016 and a total incremental sale of 14.7%.
Rental Housing Scenario in India: Barriers and FacilitatorsIRJET Journal
1. The document discusses the rental housing scenario in India, including barriers and facilitators. It notes that rapid urbanization is contributing to a housing shortage in cities.
2. There is a lack of affordable and available housing options, pushing people to live in informal rental accommodations that lack basic services. Formal rental housing policies could help address this issue.
3. The document examines existing rental housing policies and regulations in India, how effective they are, and challenges faced by landlords and tenants. It evaluates the role of private entities in addressing issues in the rental housing sector.
This document discusses the potential for affordable housing in India. It notes that the real estate sector contributes significantly to India's GDP and job growth. While the housing boom from 2005-2008 increased home prices beyond what many could afford, the economic downturn highlighted the need for more affordable options. The document defines affordable housing based on a percentage of income rather than referring only to low-cost projects. It provides examples of potential affordable projects in Kolkata and estimates the size of the affordable housing market. However, it notes developers often locate such projects in distant suburbs without adequate infrastructure. The document calls for government support through subsidized land, improved transportation, and tax incentives to help overcome bottlenecks and facilitate more affordable housing development.
Commercial valuation of property is the prime requirement for investments. Real estate values depend on many elements, such as the present cost of the land, taxation on the lad, the depreciation rates, and others. It is essential that a feasibility analysis be conducted first before the land is invested into. Given this context this report basically attempts to do a feasibility analysis for a property using the Estate Master Feasibility analysis tool. A number of inputs are given based on a case scenario for property. The report attempts to evaluate and critically discusses the real world scenario presented by the Estate master for each of these sets of inputs. A feasibility analysis based on commercial valuation methodology is carried out first, followed by a valuation of the site as is. The residual value is calculated here. The report then calculates the project returns based on the residual values using the Estate Master and in the second part of the report, sensitivity and risks analysis are covered.
This document discusses top residential investment destinations in India from 2013-2017. It outlines the methodology used to select these destinations, which involves picking top cities based on factors like population and business activity, then dividing cities into zones. Zones are analyzed based on current and projected employment growth in driver industries like IT/ITeS. Key destinations are then selected in each zone based on factors like infrastructure development, commute times, and potential price appreciation. The top destinations projected to outperform in terms of investor returns over the next 5 years are identified for various regions across India.
The document outlines the key components to analyze when conducting due diligence on a property acquisition, including rent rolls, financials, building information, and market surveys. Some of the important factors to examine are tenant leases and rent rolls, revenue and expense statements, capital expenditures, property management, permits and approvals, market rents, competition, and local demographics. Thorough analysis of these areas is necessary to validate information and assess the property's performance and market position.
Data Analysis on Home Loan Dataset using PythonShreyas Sinha
This is the complete report which showcases the Data Analysis dome on the Home Loan Dataset. It holds within itself all the aspects right from recent details on the Home Loan market, benefits for the buyers, government policies, univariate, bivariate, linear regression and logistic regression.
Then with the help of statistical analysis I was able to derive insights all of which are again written down in a simple and a chronological order.
Finally after having referred the journals, research papers & the recent news, I have presented the recommendations i.e to be implemented by the Bank so as to increase the sales and the maximize on the growth opportunities that were discovered by the study.
This document provides an overview of affordable housing in India. It discusses the growth of the Indian real estate industry and defines key terms like affordable housing. It also identifies several demand drivers for affordable housing in India like urbanization and rising income levels leading to a growing middle class. The document notes constraints on the supply of affordable housing like high land costs and lack of financing options for low-income groups. It distinguishes between low-cost and affordable housing and suggests that affordable housing requires basic amenities while low-cost focuses only on minimal housing.
Bangalore's housing demand is expected to remain positive given high affordability and a promising job environment. While the office space segment will also see continued strength, the retail and hospitality segments face oversupply issues. Developers launching many new residential projects could lead to high inventory levels if sales do not keep pace. The report initiates coverage on Prestige Estates and Sobha Developers, with different ratings and price targets for each.
Indian Real Estate Market Overview - Shobhit Agarwalsumantkachru
- The value of investment grade real estate under construction in India crossed USD 160 billion in Q2 2011, with commercial projects making up 40% and residential 75%.
- Office space is one of the fastest growing real estate sectors in India, with supply projected to reach 500 million square feet by 2015. Approximately 30% of future supply until 2013 is IT/ITeS special economic zones.
- While real estate investment has grown, the sector faces challenges such as slowing residential sales, high inflation, and delays in approvals. Private equity investment has become an important source of funding and is growing in tier 2 cities.
Baby boomer investors exchanging multifamily ownership for net lease retailWee-Ping Low
Baby boomer investors are exchanging ownership of multifamily properties for net lease retail properties due to record pricing in the multifamily sector and a desire for more passive investments without management responsibilities. The average price per square foot for single-tenant net lease retail properties has surpassed pre-recession highs, reaching $263, while the dollar volume of deals topped $25 billion in 2014. Retirees are taking advantage of 1031 exchanges to transition from multifamily to net lease retail for steady cash flow.
The document discusses income from house property under the Indian Income Tax law. It provides definitions and concepts related to annual value, computation of income from house property for let out and self-occupied houses. For let out houses, the annual value is computed based on the municipal value, fair rental value, standard rent or actual rent received, whichever is highest. For self-occupied houses, the annual value is nil but interest on home loans and other deductions can be claimed. Sample computations of annual value and income from house property are provided for different scenarios.
Realty fact - Realty sector has potential to increase completed space to more...Kumar Saurabh
According to a CBRE-AMCHAM report, India's real estate sector has the potential to increase completed space from 3.6 billion sq ft in 2013-14 to nearly 8.2 billion sq ft by 2025. This expansion could generate 17 million new jobs and more than double the sector's economic contribution from 6.3% to 13% of GDP. However, realizing this growth would require effective use of opportunities and policies to address industry bottlenecks. The report also examines real estate market trends and outlooks across major cities in India.
2. IREF Bengaluru Rental Yield Report |2
Contents
Definition of Rental Yield ....................................................................................................................................3
Significance of Rental Yield ...........................................................................................................................3
Bengaluru in Numbers ........................................................................................................................................4
Interpretation...................................................................................................................................................4
Bengaluru Locality Rental Yields .......................................................................................................................5
Gross Rental Yield for Unfurnished Houses Weighted by Built Up Area.....................................................5
Interpretation...................................................................................................................................................5
Bengaluru 2 BHK Rental Yields ...........................................................................................................................6
Interpretation...................................................................................................................................................6
Bengaluru 3 BHK Rental Yields ...........................................................................................................................7
Interpretation...................................................................................................................................................7
Other Considerations Before Buying.................................................................................................................8
Appendix 1 ..........................................................................................................................................................9
Appendix 2 ........................................................................................................................................................10
Locality-wise Rental Yield for Unfurnished Houses in Bengaluru ..............................................................10
Locality-wise Rental Yield for Furnished Houses in Bengaluru ..................................................................20
3. IREF Bengaluru Rental Yield Report |3
Definition of Rental Yield
Gross rental yield of a single property is defined as the ratio of gross annual rent income, from the
property, to the purchase price of the property. For example, if a landlord earns a gross rent income
of INR 50,000 per month for 12 months on a house that is priced at INR 1,00,00,000 in the market, she
will earn a gross rental yield of 6%.
A house, bought with the intention to rent out, is an investment in real estate similar to any other
investment with an equivalent risk profile. The Return On Investment (ROI) in real estate, then, is the net
annual rent income aka Net Operating Income (NOI) which is defined as gross rent income minus
expenses, annually. Expenses include vacancy losses, collection losses, concessions given to tenants,
operating expenses and property taxes.
NOI depends on how well a landlord can negotiate the above expenses with the tenant. Therefore,
NOI and net rental yield cannot be calculated on a micro-market level for a locality; however, gross
rental yield can. Then, it can be used to compare the investment potential of different localities.
Significance of Rental Yield
From an investment point of view, houses with not only higher absolute rental incomes but also lower
absolute purchase prices are the ones that give the maximum ROI. Hence, the metric “gross rental
yield” is of prime importance in comparing alternative investment opportunities; a higher gross rental
yield is better.
4. IREF Bengaluru Rental Yield Report |4
Bengaluru in Numbers
Interpretation
In addition to offering one of the highest rental yields among the 7 metros of India, Bengaluru is much
more affordable with an average buy price of 4300 per sqft**. In comparison, Mumbai Metropolitan
Region and Delhi – NCR offer an average buy price of 5700 per sqft** and 5000 per sqft**.
However, these are the citywide averages (containing localities where real estate transactions were
prevalent i.e. in significant numbers) and not representative of different localities in Bengaluru. The
following pages provide an in-depth locality wise analysis.
**Source: IREF Research Q3, 2015, *Source: KnightFrank Research H1, 2015
5. IREF Bengaluru Rental Yield Report |5
Bengaluru Locality Rental Yields
In the following pages, Bengaluru locality rental yields on the secondary market are shown on scatter
plots where you can compare the average rental yield of a locality with the affordability of that locality
and different localities with each other.
In order to avoid clutter on the scatter plots, only those localities which have number of listings more
than a threshold are shown; this threshold is mentioned along with the scatter plot. However, rental
yield calculations have been made for all localities satisfying the conditions shown in Appendix 1; all
these localities’ rental yields are shown in tabular format in Appendix 2 at the end of this report.
Gross Rental Yield for Unfurnished Houses Weighted by Built Up Area
Interpretation
In Q3, 2015, there were 128 localities where buying and selling of real estate was prevalent (more than
30 listings per locality).
In the figure above, as the affordability decreases (price per square feet increases) the rental yield
decreases. For example, it is more affordable to buy a house in Electronic City rather than Vijayanagar.
The difference in average monthly rents is not stark in these localities (Electronic City: INR ~14000 to INR
~14500 and Vijayanagar: INR ~11300 to INR~12300). However, there’s a huge difference in the average
buy prices weighted by area (Electronic City: ~INR 36.25 Lakh to ~INR 37 Lakh and Vijayanagar: ~INR
72 Lakh to ~INR 76 Lakh)
HSR Layout is majorly a residential locality where buy prices are quite high because of its proximity to
major commercial areas of Bengaluru. Though Electronic City is only 10 kilometers away from HSR
Layout, buy prices are lower in Electronic City because it’s outside the main city. However, rental
demand is extremely high in ECity because of large influx of IT professionals into the area.
Number of localities:28
Threshold: More Than 350 listings per Locality
Size of bubbles: Rental Supply per Locality
6. IREF Bengaluru Rental Yield Report |6
Type: Unfurnished Houses
Number of localities:59
Threshold: More Than 100 listings per Locality
Size of bubbles: Rental Supply per Locality
Type: Furnished Houses
Number of localities:59
Threshold: More Than 100 listings per Locality
Size of bubbles: Rental Supply per Locality
Bengaluru 2 BHK Rental Yields
Interpretation
In Q3, 2015, there were 109 localities in Bengaluru where buying and selling of 2 BHKs was prevalent
(more than 30 listings per locality). In Bengaluru, the rental yield for unfurnished 2 BHKs is ~3.28% and for
furnished 2 BHKs is ~4.84%, i.e. you can achieve ~50% higher rental yield on furnishing your property
before renting out.
7. IREF Bengaluru Rental Yield Report |7
Type: Unfurnished
Number of localities:22
Threshold: More Than 55 listings per Locality
Size of bubbles: Rental Supply per Locality
Bengaluru 3 BHK Rental Yields
Interpretation
In Q3, 2015, there were 54 localities in Bengaluru where buying and selling of 3 BHKs was prevalent
(more than 30 listings per locality). Balagere turns out to be the best locality for investment with rental
yield as high as 8.5% for a furnished 3 BHK. If you prefer buying a 3 BHK, Electronic City should not be
preferred as only for an average increase of INR ~300 per sqft in buy price, you can gain ~1.6% more
rental yield in Balagere.
Type: Furnished
Number of localities:22
Threshold: More Than 55 listings per Locality
Size of bubbles: Rental Supply per Locality
8. IREF Bengaluru Rental Yield Report |8
Other Considerations Before Buying
There are several other considerations like financial, demographic, locational, etc. that you should look
at before buying a house, even if it is your second or third house. This report, however, considers only
one of these aspects i.e. rental yields. IREF Research will publish further reports on these other factors
as well.
Please turn over to view Appendix 1 and Appendix 2.
9. IREF Bengaluru Rental Yield Report |9
Appendix 1
The calculation methodology for the residential rental yields is explained in the following steps.
1. All the listings are from Housing.com for secondary markets in Delhi, NCR, Mumbai, Pune,
Bangalore, Hyderabad, Chennai and Kolkata for the last 3 months were considered for this
index.
2. Transaction price for each negotiable listing is assumed to be 95% of the listing price. Transaction
price for each non-negotiable listing is assumed to be the same as the listing price.
3. The set of transaction prices for each locality is in fact only a sample set which is not
representative of all the transactions that took place in the locality in the last 3 months. Hence,
we have used statistical wizardry to develop estimates of the average buy and rent prices in
each locality, separately for different configurations (for example 1BHK, 2BHK, 3BHK, etc.).
The following steps were followed for each individual locality and configuration in that locality, for
furnished rent prices, unfurnished rent prices, buy prices and buy prices per square feet.
4. The different parameters that we considered while computing the price ranges are shown in
the table below.
Parameter (Transaction Price in a
locality for a configuration)
Population Set Sample Set
(Listings)
Mean µ x
Standard Deviation σ s
5. The Central Limit Theorem (CLT) states that irrespective of the distribution of transaction prices in
the population set, the distribution of sample means is normal. This means that on taking “n”
samples out of the population and then taking their means (x1,x2,x3,….,xn) will yield a normal
distribution as shown below.
6. For CLT to be valid, the following two conditions must be satisfied.
Where, n is the no. of observations in the sample set, K3 is the skewness and K4 is the kurtosis of
the sample set distribution.
7. If the CLT conditions were satisfied for a configuration in a locality, The (1-∝)% confidence
intervals (using t-values) from the sample data were calculated. These intervals are as shown
below.
Where, ∝ was assumed to be 0.05 (in line with industry standards) and !"#$,&#" is defined as
shown below, with different terms having their usual meaning.
'~) *+,
,-
.
/
. > 10 ∗ 45
-
. > 10 ∗ 46
[7 − !"#$,&#" ∗
9
√&
, 7 + !"#$,&#" ∗
9
√&
]
!"#$,&#" =
7 − +
= ∗ √.
10. IREF Bengaluru Rental Yield Report |10
8. These (1-∝)% confidence intervals can be interpreted as follows – If you take out 100 samples
from the population of residential real estate transactions in a locality for a particular
configuration, then in (1-∝)*100 of these samples the sample mean will lie within the confidence
intervals.
Appendix 2
Locality-wise Rental Yield for Unfurnished Houses in Bengaluru
Locality Region BHK
Avg.
Rental
Yield
Range of Avg.
Rental Yield
Avg.
Monthly
Rent
(INR)
Range of Avg.
Rent (INR)
Avg.
Rate per
SqFt
(INR)
Range of
Avg. Rate
Agrahara Layout
North
Bangalore
2 4.77 % 4 % - 5.61 % 20583 17982 - 23184 4421 4267 - 4575
Akshayanagar
South
Bangalore
2 4.74 % 4.24 % - 5.28 % 17465 16015 - 18914 3827 3743 - 3912
Akshayanagar
South
Bangalore
3 3.9 % 3.48 % - 4.36 % 18518 17234 - 19802 3812 3659 - 3965
Akshayanagar
South
Bangalore
Overall 4.32 % 3.94 % - 4.71 % 17452 16381 - 18523 3823 3750 - 3895
Anantapura
North
Bangalore
2 3.41 % 2.93 % - 3.95 % 12783 11607 - 13959 3952 3731 - 4172
Anantapura
North
Bangalore
Overall 3.51 % 3.05 % - 4.03 % 15364 14033 - 16695 3998 3842 - 4154
Annapurneshwari
Nagar
West
Bangalore
2 3.34 % 3.08 % - 3.62 % 14393 13801 - 14986 4621 4447 - 4795
Annapurneshwari
Nagar
West
Bangalore
3 3.8 % 3.52 % - 4.09 % 20703 19845 - 21562 4683 4532 - 4833
Annapurneshwari
Nagar
West
Bangalore
Overall 3.22 % 3.01 % - 3.45 % 16061 15438 - 16684 4711 4599 - 4822
Arakere
South
Bangalore
2 3 % 2.78 % - 3.23 % 14384 13938 - 14831 4736 4553 - 4919
Arakere
South
Bangalore
Overall 2.66 % 2.49 % - 2.85 % 14098 13690 - 14505 4928 4781 - 5075
Balagere East Bangalore 2 5.41 % 5 % - 5.84 % 19145 18305 - 19984 3584 3467 - 3700
Balagere East Bangalore 3 5.89 % 5.51 % - 6.29 % 24125 23474 - 24776 3470 3340 - 3599
Balagere East Bangalore Overall 5.72 % 5.39 % - 6.06 % 21709 21029 - 22389 3531 3445 - 3618
Banashankari
Central
Bangalore
2 2.51 % 2.32 % - 2.7 % 12400 11920 - 12880 5258 5089 - 5428
Banashankari
Central
Bangalore
3 3.1 % 2.85 % - 3.36 % 18996 18082 - 19911 5081 4930 - 5232
Banashankari
Central
Bangalore
Overall 2.3 % 2.17 % - 2.44 % 12952 12551 - 13353 5144 5032 - 5256
Banaswadi
North
Bangalore
2 2.72 % 2.41 % - 3.07 % 15125 14321 - 15928 5166 4885 - 5447
Banaswadi
North
Bangalore
3 2.76 % 2.34 % - 3.24 % 17661 15924 - 19399 5344 5001 - 5687
Banaswadi
North
Bangalore
Overall 2.54 % 2.31 % - 2.79 % 15182 14485 - 15879 5264 5053 - 5475
Bangalore City
Municipal
South
Bangalore
2 4.15 % 3.91 % - 4.4 % 14769 14312 - 15226 3815 3730 - 3901