PurposeThe purpose of this paper is to compare banks specialised on real estate lending with the overall market in order to the test if they are more or less exposed to liquidity risk.Design/methodology/approachFollowing the approach proposed by the Basel Committee in order to evaluate the bank liquidity exposure, the paper compares the value of these measures between the real estate lending banks (REBs) and all other banks for the Italian market. A panel regression analysis is also performed in order to identify the main drivers of the liquidity risk measures for the two types of banks.FindingsThe paper finds that no significant differences exist between REBs and the overall system if liquidity risk measures used by regulators in order to supervise the banking system are taken into account. Normally liquidity exposure by this type of bank is significantly affected by interbank market dynamics.Research limitations/implicationsThe paper considers only one market in order to test the fitness of the regulatory approach for the REBs and does not take into account the off balance sheet exposure.Practical implicationsEven if REBs suffer from a misalignment between the asset and liability duration, the supervisory authority selects measures that do not penalise them.Originality/valueThe paper represents one of the first empirical analyses on the impact of regulatory requirements for liquidity management by the Basel Committee in order to test if the rules proposed could penalise banks specialised in real estate loans.
Purpose This paper aims to collect data from a unique database provided by LendInvest and to study the key differences in the lending features for the two types of lending solutions. Findings Peer-to-peer (P2P) loans are prevalently short-term financing solutions (bridge financing), and the size of the loan is above average of the market. The loan portfolio is normally more geographically concentrated with respect to the average for the overall market and the main geographical areas for P2P lending are not just the main markets served by traditional lenders. Areas served by P2P lending have a lower population income than the national average and are characterized by below-average real estate price performance. Research/limitations/implications The results support the hypothesis of a complementary relation between conventional and P2P lending, showing that the latter represents a solution that is servicing areas that, because of the lower value of the collateral and lower average income, do not have easy access to the traditional mortgage market. Originality/value The paper is a first empirical contribution on the analysis of the market served by P2P real estate lending financing solution.
Purpose The purpose of this paper is to evaluate the impact of macroeconomic condition and real estate price trend on the amount of residential loan. Design/methodology/approach The paper using a sample of 16 European Countries for the time period 2007–2015 evaluates the impact of change in the gross domestic product (GDP) growth and the inflation rate on the amount of residential loans. The analysis is performed by using a vector autoregressive (VAR) and generalized VAR approach for the full sample and for each country considered. Findings For a short-term horizon, shocks to mortgages, the house price index (HPI) and the GDP have a positive effect on the GDP, a shock to the amount of mortgages has a positive effect on the mortgage supply and a shock to the GDP has a negative effect on HPI. The main results for the long-term horizon are that a GDP shock has a positive and persistent effect on the amount of mortgages, a shock to HPI has a negative and persistent effect on mortgages and a shock to the amount of mortgages seems to have no persistent effect on the GDP or the HPI. Moreover, the analysis shows that a spillover risk among countries exists and a GDP shock in a European area has an effect on the GDP, real estate prices and residential mortgages in almost all European countries. Practical implications Results obtained show that both macroeconomic and housing prices shocks matter for the real estate lending and the effect are different in the short- and in the medium–long-term horizon. Results are also different country by country and they are affected by the level of financial development of the country. Originality/value The paper studies a lending crisis period and evaluates for the European market the impact of shock on macro-variables for mortgages focusing the attention for the first time only on residential mortgages.
Purpose -The purpose of this paper is to study whether geographic and sector diversification allow for a significant reduction in the risk exposure of a portfolio of hotel investments in one of the major tourist markets, the Italian market. Design/methodology/approach -This paper evaluates the benefits related to a Markowitz diversification approach for the construction of a specialised portfolio in the hotel real estate market. The portfolio analysis considers the degree of efficiency of each portfolio, the type of diversification adopted by a more efficient portfolio, the persistence of results over time and the impact of diversification constraints. Findings -The results demonstrate that, while standard geographic and sector diversification allow for good results, the more efficient portfolios are more concentrated. The trade-off is worse if some concentration constraints are established, but the portfolios identified are characterised by higher performance persistence.Research limitations/implications -The analysis only considers high-quality hotels in the Italian market. Unfortunately, some information on costs is not as detailed as would be desired. The availability of a more complete database could increase the significance of the results obtained. Practical implications -The results are relevant for constructing all hotels' portfolios, like those managed by a real estate fund manager, in order to define the type and degree of diversification that allow for minimal risk exposure. Originality/value -This paper is the first to apply the Markowitz theory to the Italian hotel industry in order to identify the best diversification criteria.
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