2,638 research outputs found
Young consumers online and offline channel purchase behaviour
Consumers purchase path has become increasingly fragmented, as consumers now shop across various online and offline channels to complete a single transaction. Certain aspects need to be taken into consideration, to understand how consumers choose between these online and offline channels during their purchase journey to fulfil their requirements. The main aim of this study was to understand young consumers online and offline channel purchase behaviour. This was done by evaluating channel usage from three different directions, 1) channel influencers, 2) purchase journey, 3) value dimensions. The empirical part of the thesis was based on quantitative research method. Primary data for the thesis was collected through survey questionnaires in two phases. The research revealed that young consumers preferred online channel for information search and offline channels for product acquisition. Due to channel evolution, it was possible for them to switch between online and offline channels effortlessly through search and acquisition. It seemed obvious for the young consumers to prefer the circular journey, as this journey narrows down the purchase path significantly compared to the other journeys. Value dimensions play a very important motivating role in channel purchase behaviour among young consumers and an important deciding factor on their channel specific usage during their purchases
ARE FACTOR INVESTING STRATEGIES SUCCESSFUL OUT-OF-SAMPLE: EVIDENCE FROM THE NIFTY INDICES
Do factor investment strategies that have generated superior returns in the past continue to do so out-of-sample? To test this hypothesis, I check the performance of nine factor-based indices of the National Stock Exchange (NSE) of India. My results show that the performance of most indices falls considerably in the out-of-sample period, i.e. the period after the launch of an index. The results hold for absolute as well as excess and risk-adjusted returns. In additional tests, I find that none of the factor strategies generates significant alpha after controlling for standard factors such as size, value, and momentum
Systematic transcriptome wide analysis of lncRNA-miRNA interactions
Long noncoding RNAs (lncRNAs) are a recently discovered class of non-protein
coding RNAs which have now increasingly been shown to be involved in a wide
variety of biological processes as regulatory molecules. Little is known
regarding the regulatory interactions between noncoding RNA classes. Recent
reports have suggested that lncRNAs could potentially interact with other
noncoding RNAs including miroRNAs (miRNAs) and modulate their regulatory role
through interactions. We hypothesized that long noncoding RNAs could
participate as a layer of regulatory interactions with miRNAs. The availability
of genome-scale datasets for argonaute targets across human transcriptome has
prompted us to reconstruct a genome-scale network of interactions between
miRNAs and lncRNAs.
We used well characterized experimental
Photoactivatable-Ribonucleoside-Enhanced Crosslinking and Immunoprecipitation
(PAR-CLIP) datasets and the recent genome-wide annotations for lncRNAs in
public domain to construct a comprehensive transcriptome-wide map of miRNA
regulatory elements. Comparative analysis revealed many of the miRNAs could
target long noncoding RNAs, apart from the coding transcripts thus
participating in a novel layer of regulatory interactions between noncoding RNA
classes. We also find the miRNA regulatory elements have a positional
preference, clustering towards the 3' and 5' ends of the long noncoding
transcripts. We also further reconstruct a genome-wide map of miRNA
interactions with lncRNAs as well as messenger RNAs.
This analysis suggests widespread regulatory interactions between noncoding
RNAs classes and suggests a novel functional role for lncRNAs. We also present
the first transcriptome scale study on lncRNA-miRNA interactions and the first
report of a genome-scale reconstruction of a noncoding RNA regulatory
interactome involving lncRNAs
- β¦