Identifying Financial Condition Indexes for Vietnam

Abstract

This research constructs a financial condition index (FCI) for Vietnam to explore the macro-financial linkages in the country. This index is constructed by applying the principal components analysis (PCA) method. The FCI is constructed using monthly data from 2000 to 2020 and is based on a set of financial variables, including variables that define the state of international financial markets, asset prices, interest rate spreads, stock market, bond market, and monetary aggregates. We found that FCI could predict the fluctuations of the industrial index and inflation rate from 1 to 3 months in Vietnam. This result plays an important role in helping policymakers and investors in the market to make relevant decisions in the management and investment in the financial market.

A Method for Evaluation of Streetscapes: Relationship between Visual Entropy and Interesting Streetscape

“…As a facade, elements can all directly affect the residents' comfort [15][16][17]. The façade of a building is one part of the streetscape, and there are also other elements such as gardens, walls, trees, and their relationship with the buildings which form the streetscape [18].…”

“…The literature considers visual complexity an essential feature in the visual phenomena of the built environment [18,26].…”

“…Visual complexity affects people's reactions most [18]. The most important factor affecting people's reactions is visual complexity [18].…”

“…Visual complexity affects people's reactions most [18]. The most important factor affecting people's reactions is visual complexity [18]. On the one hand, some studies indicate a positive complexity-preference linear relationship [18,39,40], and on the other hand, other studies suggest an inverse U-shaped relationship, specifically that samples with a medium complexity level are more preferred to samples with high or low complexity [8,37].…”